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KiSinWi — AutoML-платформа с микросервисной архитектурой и мультиагентными воркфлоу

Знаете это чувство, когда обучаешь классификатор изображений в десятый раз и ловишь себя на мысли, что делаешь ровно то же самое, что и в прошлый раз? Поменять архитектуру, подкрутить learning rate, добавить аугментацию, подождать, посмотреть на кривые, вздохнуть, поменять ещё раз. Рутина, которую вроде бы знаешь наизусть и именно поэтому она бесит больше всего.

В какой-то момент (прошлой осенью) я подумал: а почему этим до сих пор занимаюсь я, а не модель, которая в этом разбирается не хуже (ну наверное)? Так началась KiSinWi - платформа, где команда из LLM-агентов сама проходит весь путь от сырого датасета до обученной модели. Анализирует данные, спорит об архитектуре, изучает лучшие практики, собирает конфиг обучения, запускает его и потом сама же разбирает, что получилось.

С тех пор прошло уже больше полугода работы. Да, это не проект выходного дня, собранный на коленке между двумя чашками кофе. Настал момент рассказать о нём и заодно честно взглянуть на цифры. Не на красивые обещания на листе со шрифтом Times New Roman, а на реальные итоги. Работает ли оно по-настоящему?

Для этого я взял пять публичных датасетов с известными эталонными результатами и прогнал через платформу. Ниже представлено что вышло со всеми конфигами лучших моделей, цитатами агентов и с двумя датасетами, где платформа недотянула по метрикам. Их я тоже покажу. Надеюсь, к концу вы согласитесь, что это лечится не переписыванием платформы, а парой функций или ещё одним агентом в команде. А сел писать я не потому, что всё готово, а потому что “вот допилить нужно ещё чуть-чуть” говорил я и откладывал уже четыре раза - пора вылезать из этой ловушки перфекциониста.

Да, это именно так
Да, это именно так

Сначала - зачем всё это

Обучить классификатор картинок - это не “вызвать model.fit() и пойти спать”. Это цепочка решений, каждое из которых требует осмысленных действий:

  • какую архитектуру взять и обучать ли её с нуля или дообучать её;

  • какие аугментации помогут, а какие, наоборот, сотрут полезные признаки;

  • какой оптимизатор, какой scheduler, сколько эпох;

  • где вовремя остановиться и не переобучиться.

Каждое из этих решений человек принимает головой и опытом, а перебор стоит времени и GPU-часов. Идея KiSinWi проста, отдать весь этот цикл агентам. Пользователь приносит датасет и формулирует требование по-человечески - “хочу точность не ниже 0.93, и чтобы инференс был дешёвым”. А дальше платформа сама идёт от анализа данных до готовых весов и отчёта о качестве. Причём управлять агентами можно не только целевой метрикой. Им можно задать ограничения по гипотезам - например, направить в сторону конкретных архитектур или, наоборот, запретить лишние эксперименты, если вы уже знаете, что хотите. А можно описать железо, на котором модель будет жить в проде: сколько памяти, есть ли GPU, какой бюджет на latency. Агенты учитывают это при выборе архитектуры - нет смысла подбирать тяжёлую сеть под сервер, который её не потянет. По сути вы очерчиваете рамки, а внутри них платформа ищет лучшее решение сама. И в итоге мы имеем не просто AutoML с перебором гиперпараметров, а агентную систему, где каждый агент рассуждает вслух.

Как это устроено под капотом

Под капотом платформа - это конвейер из микросервисов. Данные проходят через них последовательно, как по конвейерной ленте:

datasets -> agents -> tasker -> trainer -> metrics + ml_models -> agent_history

Я разбил систему на сервисы не ради моды, а для возможности беспрерывного масштабирования. Сейчас платформа заточена под классификацию изображений, но это не тупик. Чтобы добавить новый тип задачи, к примеру детекцию объектов или NLP, достаточно добавить в сервис datasets возможность работать с данными и поднять отдельный trainer с соответствующей логикой. Все остальные сервисы остаются неизменными. Платформа расширяется не переписыванием старого, а подключением нового.

Важный момент о котором вы уже могли подумать - конфиг обучения динамический. Агенты не заполняют жёсткую форму с фиксированными полями - они собирают конфигурацию из доступных кирпичиков (архитектуры из timm, оптимизаторы, scheduler’ы, аугментации) и прогоняют её через формальную валидацию перед запуском. Никакого хардкода - это позволило в процессе разработки добавлять новые фичи в сервис тренировок без изменения агентов и позволит в будущем с лёгкостью внедрять новые сервисы обучения с другими задачами.

Знакомьтесь, команда

В платформе я реализовал два воркфлоу: полный и быстрый. Давайте сейчас рассмотрим полный воркфлоу и начнём с того, какие агенты у нас есть и что они делают.

Роль

Чем занимается

Computer Vision Dataset Analyst

Анализирует датасет: классы, баланс, размеры, возможные утечки между выборками. Запускается первым и имеет право вето - если данные не готовы, воркфлоу останавливается.

ML Researcher

Выдвигает гипотезы по архитектуре, аугментациям и регуляризации. Дирижёр обсуждения гипотез. В его подчинении есть агент Internet Best-Practices Scout.

Internet Best-Practices Scout

По запросу Researcher’а ищет свежие практики - arXiv, парсинг страниц.

ML Engineer

Оценивает гипотезы Researcher’а: принимает, отклоняет или отправляет на доработку. Собирает финальный конфиг и валидирует его перед запуском.

ML Debugging Engineer

Включается только если обучение упало с ошибкой. Локализует проблемный параметр в конфиге и чинит его точечно не переписывая всё с нуля.

ML Model Metrics Analyst

Оценивает полученные результаты модели и запускает новую итерацию обучения в случае, если модель не достигла бизнес требований.

ML Model Production Readiness Expert

В конце подводит итог всех попыток и выдаёт вердикт: ДА / НЕТ / УСЛОВНО готова модель к проду.

Схема взаимодействия показана на рисунке ниже. (Агенты подписаны полными именами)

схема взаимодействия агентов.
схема взаимодействия агентов.

Как вы видите на рисунке выше это не конвейер, где каждый говорит по разу. Dataset Analyst отрабатывает один раз в начале, а дальше крутится главный цикл - Researcher <-> ML Engineer. Researcher предлагает гипотезы, ML Engineer их судит: согласен - собирает конфиг и запускает обучение; не согласен - отправляет Researcher’а думать заново, и так до трёх подходов. Если обучение падает с ошибкой, запускается отдельный цикл с ML Debugging Engineer. Он имеет три попытки починить поломку, а так же может отказаться чинить остановив обучение, если решение ошибки не зависит от его действий. А поверх всего - внешний цикл итераций: платформа обучает модель, агент ML Model Metrics Analyst определяет, достигла модель требований, и если не достигла, запускает новую итерацию обучения(максимум прогонов 5, т.к. вероятность, что вам придётся брать кредит на токены из-за галлюцинаций никуда не пропадает).

ML Engineer не сочиняет конфиг по памяти - у него есть инструменты: список реально доступных архитектур (timm), опрос железа (есть ли GPU и сколько памяти), перечни поддерживаемых оптимизаторов, scheduler’ов и аугментаций, а финальный конфиг прогоняется через валидатор до запуска. Поэтому в обучение уходит не “галлюцинация”, а проверенная конфигурация - что во многом и объясняет, почему дефолты у платформы получаются вменяемыми.

Быстрый режим - это урезанный вариант обучения с одной итерацией обучения. Добавлен он чтобы гонять платформу на тестах, не упираясь в отказы от рассуждающего блока и агента аналитика данных. В нём ML Engineer обязан проанализировать данные и запустить обучение на имеющихся данных (права сказать “нет, эта задача безнадёжна” у него нет). После обучения подключается агент ML Model Metrics Analyst, который разбирает метрики готовой модели.

В бенчмарке я гонял именно полный пайплайн и самое приятное, что спор и действия агентов не спрятаны в логах сервера. Он живёт прямо в интерфейсе. Открываешь дискуссию - и видишь вертикальную ленту-таймлайн: сообщение за сообщением, каждое подписано ролью агента и помечено статусом. Кликаешь по карточке - она разворачивается, и под ней полное рассуждение агента, отрендеренное как Markdown: с заголовками, списками, кусками конфига. А рядом - кнопка “Инструменты”: жмёшь и видишь, чем именно агент пользовался - какие модели искал, что прогонял через валидацию, с какими аргументами на входе и что получил на выходе. То есть видно не только что агент решил, но и на основании чего.

Скриншоты интерфейса
меню агентов в интерфейсе
меню агентов в интерфейсе
Дискуссия агентов в интерфейсе - часть 1/4
Дискуссия агентов в интерфейсе - часть 1/4
Дискуссия агентов в интерфейсе - часть 2/4
Дискуссия агентов в интерфейсе - часть 2/4
Дискуссия агентов в интерфейсе - часть 3/4
Дискуссия агентов в интерфейсе - часть 3/4
Дискуссия агентов в интерфейсе - часть 4/4
Дискуссия агентов в интерфейсе - часть 4/4

И всё это в реальном времени: пока идёт прогон, лента сама подтягивает новые сообщения раз в пару секунд, статусы переключаются с “в процессе” на “готово”.

Для AutoML такая прозрачность редкость. Возьмите тот же AutoGluon или Auto-sklearn: после fit() вы зовёте .leaderboard() и получаете аккуратную таблицу - модель, score, время обучения. У H2O AutoML - то же самое через .leaderboard. Полезно, спору нет, но это ответ на вопрос “что победило”, а не “почему”. Цепочку рассуждений - какие гипотезы рассматривались, что отмели и на каком основании, какими инструментами это проверялось - оттуда не вытащишь, её просто нет. А здесь она есть, прямо в виде живого, читаемого диалога.

Подготовка: какой моделью “думают” агенты

Прежде чем гонять бенчмарк, надо было решить вопрос, от которого зависит вообще всё: какую LLM поставить мозгом агентов. И это оказалось совсем не формальностью - пара кандидатов отвалилась прямо на старте.

Платформу я с самого начала затачивал под модели OpenAI, и не из вкусовщины. Вся мультиагентная механика держится на двух вещах: агенты должны возвращать строгие структуры (я описываю их как Pydantic-схемы - это лучшая практика при использовании crewAi) и уметь дёргать инструменты. У OpenAI зрелые Structured Outputs со strict JSON - модель не просто “старается” попасть в формат, а гарантированно отдаёт JSON, который ложится в мою схему. Провайдер валидирует это на своей стороне. Плюс надёжный вызов инструментов во всей актуальной линейке. У меня же агенты вызывают инструменты буквально на каждом шаге.

И это не пустые слова - я пробовал поставить за штурвал других, и упёрся ровно в эти две вещи:

  • DeepSeek V4 - спотыкался на инструментах. Он раз за разом не мог корректно вызвать tools, а без инструментов агенты слепы: им нечем ни датасет посмотреть, ни конфиг провалидировать. Так что дальше первых шагов на нём не уедешь. Зато цена и скорость явно превосходят OpenAI модели.

  • Anthropic: Claude Opus 4.6 - наоборот, с инструментами дружил, но не держал строгую структуру ответа: возвращаемый JSON регулярно не сходился с моей Pydantic-схемой, и шаг падал на валидации.

Чтобы не вводить в заблуждение: это не приговор самим моделям. И DeepSeek, и Claude в принципе умеют и tool’ы использовать, и структурированный вывод - просто у каждого провайдера свой способ это отдавать, и litellm на тот момент дружил с ними по-разному. У меня всё было заточено под strict-режим OpenAI, поэтому именно с ним связка вела себя предсказуемо, а остальных пришлось бы отдельно настраивать. Возможно, под них платформу ещё допилю - но для бенчмарка я взял то, что работает как часы: openai/gpt-5.1. [1]

Как я вообще это мерил

Важная оговорка: я проверял не техническую работу платформы, а её качество как ML-инструмента. Бенчмарк под это написан сознательно максимально просто. Он не оценивает, не считает метрики и не ставит вердиктов: его задача - прогнать датасеты через платформу, запустить обучения и принести ссылки на готовые модели. А дальше начинается ручная работа: смотреть метрики, сравнивать с эталоном, разбираться, почему вышло так, а не иначе, - это мы делаем уже сами, глазами и головой.

Почему так? Потому что источник правды по метрикам - это сами сервисы платформы, а не локальная копия в JSON. Дублировать их в скрипте - значит плодить второй “оракл”, который рано или поздно разойдётся с реальностью. Поэтому скрипт намеренно держит у себя только ссылки. Также подчеркну, что в интерфейсе реализован просмотр моделей для сравнения.

Скриншоты интерфейса при сравнении
Сравнение обученных моделей - часть 1/5
Сравнение обученных моделей - часть 1/5
Сравнение обученных моделей - часть 2/5
Сравнение обученных моделей - часть 2/5
Сравнение обученных моделей - часть 3/5
Сравнение обученных моделей - часть 3/5
Сравнение обученных моделей - часть 4/5
Сравнение обученных моделей - часть 4/5
Сравнение обученных моделей - часть 5/5
Сравнение обученных моделей - часть 5/5

Сравнивать дальше я буду с эталоном типичной точностью на тесте для ResNet50 с предобучением на ImageNet [2]. Это честный ориентир именно для инструмента: не “побей лучшую модель в мире”, а “выйди на уровень, который грамотный инженер получает стандартным дообучением”.

Baseline у каждого датасета - не рекорд SOTA и не цифра с потолка, а уровень “ResNet50, дообученный с ImageNet”: крепкий, общеизвестный transfer-результат, который на этих датасетах берут годами. Сами проценты (98/96/93/96/80) я взял как типичные значения такого transfer-дообучения по литературе и публичным репортам - это не строгие официальные числа из одной таблицы, а ориентир “куда дотягивается грамотный инженер стандартным подходом”. И я не требую попасть в него тютелька-в-тютельку - мы с вами держим в уме разумную погрешность для метрик. Плюс отдельно посмотрим на разрыв train−val как индикатор переобучения.

Источники каждого датасета: CIFAR-10, Oxford Flowers-102, Oxford-IIIT Pets, Food-101, Beans. Шестым кейсом идёт deepfake-классификация: там я мерил платформу уже не против baseline, а против решения живого Kaggle-мастера на мета-датасете, собранном из 6 датасетов Kaggle (подробный разбор - в отдельной главе ниже).

Все прогоны - от 2026-06-15, GPU NVIDIA RTX 5080 Laptop, с несколькими итерациями рассуждений, в роли мозга агентов - openai/gpt-5.1 (почему именно она - в главе “Подготовка” выше).

А сколько это стоит по токенам. Резонный вопрос для AutoML: семь агентов с инструментами и несколькими итерациями - это не бесплатно. Цифры из сервиса метрик (он считает токены по каждому агенту): один датасет обходился в среднем примерно в 740k токенов - от ~640k на самых быстрых прогонах (Flowers, Pets) до ~945k на CIFAR-10, который крутил больше всего итераций. Подавляющая часть - это prompt-токены (~90%): агенты на каждом шаге таскают за собой контекст и результаты инструментов. По биллингу OpenRouter это выходило порядка 0,9$ за датасет. Для ясности так же обозначу, что цена могла быть ниже, если бы я использовал API OpenAI напрямую, а не через OpenRouter.

Результат сравнений

Вот сводная таблица, а дальше разберём каждый случай по-отдельности - что увидели агенты, что выбрали и чем всё кончилось.

Датасет

Классы

Архитектура

Baseline

Test acc

Разрыв

F1

Test AUROC

Train−val

Итераций

Время

Вердикт

Beans

3

mobilenetv3_large_100

98.0%

98.4%

+0.4 п.п.

0.985

0.99

0 п.п.

4

15.5 мин

✅ ОК

Oxford Flowers-102

102

efficientnet_b0

96.0%

98.3%

+2.3 п.п.

0.984

0.99

+0.9 п.п.

3

24 мин

✅ ОК

Food-101 (урезан до 100 картинок на класс)

101

mobilenetv3_large_100

80.0%

71.6%

−8.4 п.п.

0.711

0.98

+33.8 п.п.

3

57.8 мин

◐ ориентир (subset)

CIFAR-10

10

resnet18 (с нуля)

96.0%

88.7%

−7.3 п.п.

0.887

0.99

+3.6 п.п.

4

82.7 мин

⚠️ accuracy недотянул

Oxford-IIIT Pets

37

efficientnet_b0

93.0%

88.5%

−4.5 п.п.

0.882

0.99

+6.5 п.п.

3

22 мин

⚠️ accuracy недотянул

Deepfake

2

resnet50

98.0%

98.3%

+0.3 п.п.

0.983

0.99

+0.2 п.п.

3

8 ч 34 мин

✅ ОК

Пара слов про колонки, чтобы не запутаться. Архитектура - это то, что агенты выбрали сами. Разрыв - это отставание/опережение test accuracy от baseline, а Train−val - это разрыв между точностью на обучении и на валидации, то есть индикатор переобучения (чем больше, тем сильнее модель “зазубрила” трейн). F1 добавил как устойчивую к перекосам альтернативу accuracy.

Пара слов про методологию. Платформа крутит внешний цикл итераций и в конце сама выносит вердикт, какая из обученных версий лучшая - это делает агент-эксперт по метрикам. Именно эту, отмеченную платформой лучшую модель я и ставлю в таблицу: то самое итоговое решение, которое забрал бы и живой инженер. Любопытная деталь: на CIFAR-10 и Pets лучшей оказалась не последняя итерация, а более ранняя - то есть платформа не улучшает любой ценой и не выдаёт случайный регресс за прогресс.

Поехали по порядку. Но сразу обратите внимание на колонку AUROC - к ней мы вернёмся, когда дойдём до двух датасетов, где accuracy “недотянул”. Спойлер: всё не так грустно, как кажется по одной только accuracy.

Если AUROC вам ни о чём не говорит - это метрика того, насколько хорошо модель ранжирует объекты по уверенности, независимо от выбранного порога. Accuracy отвечает на вопрос “сколько угадал”, AUROC - “понимает ли модель, где какой класс, в принципе”. 1.0 - идеал, 0.5 - монетка. Важная оговорка наперёд: в многоклассовой задаче AUROC считается по схеме one-vs-rest (каждый класс против всех остальных), а такой бинарный вопрос решается легко, поэтому 0.99 здесь - частое и не особо геройское значение. Высокий AUROC не равно “почти взял baseline по accuracy” - это разные вопросы, и дальше я на этом подробно остановлюсь.

Beans - 98.4% на больных листьях фасоли

Это датасет состоящий из 3 классов, около 1300 фотографий листьев фасоли (здоровые и две болезни). Такой датасет взят, чтобы проверить - а базовый-то сценарий вообще работает? Если платформа спотыкается тут, дальше можно не смотреть. Агенты считали ситуацию мгновенно: мало данных, мало классов - значит, лёгкая предобученная архитектура плюс сильные аугментации против переобучения. ML Engineer выбрал mobilenetv3_large_100 (предобученный) и прямо обосновал выбор компромиссом “качество против дешёвого инференса в проде”. Не “давайте самую жирную сеть”, а именно по делу.

Полный конфиг обучения (Beans) - для тех, кому интересны внутренности
{
  "model_params": { "type": "mobilenetv3_large_100", "pretrained": true },
  "data_loader_params": {
    "batch_size": 32,
    "num_workers": 2,
    "train_transforms_config": [
      { "name": "RandomResizedCrop", "params": { "scale": [0.8, 1.0], "size": [224, 224] } },
      { "name": "RandomHorizontalFlip", "params": { "p": 0.5 } },
      { "name": "RandomVerticalFlip", "params": { "p": 0.25 } },
      { "name": "RandomRotation", "params": { "degrees": 22 } },
      { "name": "ColorJitter", "params": { "brightness": 0.25, "contrast": 0.25, "saturation": 0.25, "hue": 0.05 } },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225] } }
    ]
  },
  "trainer_params": {
    "epochs": 40,
    "loss_fn": { "name": "CrossEntropyLoss", "params": { "label_smoothing": 0.1 } },
    "optimizer": { "name": "AdamW", "params": { "lr": 0.001, "weight_decay": 0.0003 } },
    "scheduler": { "name": "CosineAnnealingLR", "params": { "T_max": 40, "eta_min": 1e-06 } },
    "early_stop": { "metric_name": "loss", "patience": 8, "min_delta": 0.001, "mode": "min" },
    "grad_clip_norm": 1.0,
    "use_amp": true
  },
  "device": "cuda"
}

Итог - 98.4%, на 0.4 п.п. выше baseline, переобучения ноль, всё уложилось в 15 с половиной минут. Эталонный прогон, придраться не к чему. Приятно, когда базовый кейс просто берёт и работает.

Oxford Flowers-102 - 98.3% на сотне с лишним классов

А вот тут я слегка напрягся перед прогоном. 102 класса цветов, примеров на класс мало. Казалось бы, идеальный повод для платформы споткнуться. Но нет. ML Researcher и ML Engineer быстро сошлись на efficientnet_b0 (предобученном) - лёгкий, дешёвый. Из данных, собранных ML Researcher, ML Engineer вывел вот такое заключение:

«EfficientNet-B0 исторически показывает высокое качество на датасете Oxford Flowers-102, и при использовании предобученных весов, адекватных аугментаций и настройки обучения достижение accuracy выше 0.96 на сбалансированном тестовом сплите - реалистичная цель.» — ML Engineer

То есть они не нашли какую-то секретную архитектуру, а подтвердили общеизвестный best practice и решили не изобретать велосипед. И это, кстати, правильное поведение ML-инженера.

Полный конфиг обучения (Flowers-102)
{
  "model_params": { "type": "efficientnet_b0", "pretrained": true },
  "data_loader_params": {
    "batch_size": 32,
    "num_workers": 4,
    "train_transforms_config": [
      { "name": "RandomResizedCrop", "params": { "scale": [0.7, 1.0], "size": [224, 224] } },
      { "name": "RandomHorizontalFlip", "params": { "p": 0.5 } },
      { "name": "RandomRotation", "params": { "degrees": 15 } },
      { "name": "ColorJitter", "params": { "brightness": 0.2, "contrast": 0.2, "saturation": 0.2, "hue": 0.1 } },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225] } }
    ]
  },
  "trainer_params": {
    "epochs": 40,
    "loss_fn": { "name": "CrossEntropyLoss", "params": { "label_smoothing": 0.1 } },
    "optimizer": { "name": "AdamW", "params": { "lr": 0.001, "weight_decay": 0.01 } },
    "scheduler": { "name": "CosineAnnealingLR", "params": { "T_max": 30, "eta_min": 1e-06 } },
    "early_stop": { "metric_name": "accuracy", "patience": 6, "min_delta": 0.0005, "mode": "max" },
    "grad_clip_norm": 1.0,
    "use_amp": true
  },
  "device": "cuda"
}

98.3%, на 2.3 п.п. выше baseline, переобучения почти нет - и это на 102 классах за 24 минуты. Платформа держит планку не только на “игрушечных” трёх классах, но и на нормальной многоклассовой fine-grained задаче.

Food-101 (subset) - сознательный стресс-тест

Здесь я специально подложил платформе свинью: 101 класс еды, но датасет урезан до 100 картинок на класс. Это классический рецепт переобучения - много классов, мало данных. Baseline в 80% дан для полного датасета, поэтому результат на subset я считаю грубым ориентиром, а не строгой планкой. И вот тут агенты показали то, ради чего всё затевалось. На второй итерации обучения ML Researcher увидел, что предыдущая попытка на EfficientNet-B1 даёт ~70% и сильно переобучается, и сам сменил стратегию - выбрал mobilenetv3_large_100 с усиленной регуляризацией:

«Текущий лучший бенчмарк на EfficientNet-B1 даёт ≈0.70 accuracy и сильно переобучается. С учётом продакшн-ограничения “минимизировать затраты инференса” целесообразно перейти на лёгкую архитектуру MobileNetV3 Large… усиленную регуляризацию для борьбы с переобучением.» — ML Researcher

Заметьте: это не я вмешался и подсказал. Агент сам прочитал результат предыдущей итерации, поставил диагноз “переобучение” и сменил подход. Именно то поведение, которого ждёшь от живого ML-инженера.

Полный конфиг обучения (Food-101 subset)
{
  "model_params": { "type": "mobilenetv3_large_100", "pretrained": true },
  "data_loader_params": {
    "batch_size": 64,
    "num_workers": 4,
    "train_transforms_config": [
      { "name": "RandomResizedCrop", "params": { "scale": [0.6, 1.0], "size": [224, 224] } },
      { "name": "RandAugment", "params": { "num_ops": 2, "magnitude": 9 } },
      { "name": "RandomHorizontalFlip", "params": { "p": 0.5 } },
      { "name": "ColorJitter", "params": { "brightness": 0.2, "contrast": 0.2, "saturation": 0.2, "hue": 0.1 } },
      { "name": "RandomRotation", "params": { "degrees": 15 } },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225] } }
    ]
  },
  "trainer_params": {
    "epochs": 40,
    "loss_fn": { "name": "CrossEntropyLoss", "params": { "label_smoothing": 0.1 } },
    "optimizer": { "name": "AdamW", "params": { "lr": 0.0008, "weight_decay": 0.02 } },
    "scheduler": { "name": "CosineAnnealingLR", "params": { "T_max": 40, "eta_min": 1e-06 } },
    "early_stop": { "metric_name": "accuracy", "patience": 6, "min_delta": 0.001, "mode": "max" },
    "grad_clip_norm": 1.0,
    "use_amp": true
  },
  "device": "cuda"
}

Получилось 71.6% при ориентире 80% - на урезанном датасете я считаю это приемлемым. Но разрыв train−val настораживает: +34 п.п. Модель буквально упёрлась в нехватку данных, и тут уже никакая регуляризация полностью не спасёт - 100 картинок на класс для задачи с 101 классом это просто мало. Платформа взяла планку-ориентир, но кейс показал её реальный предел. И это нормально: важно, что предел виден в метриках, а не замаскирован.

Всё под контролем
Всё под контролем

Задачи, где accuracy недотянул

Два датасета из пяти baseline по accuracy не взяли. И это, пожалуй, самая интересная часть статьи и интересна она не тем, что у недобора есть понятная, измеримая причина, и я её не угадываю, а проверяю руками.

Сразу остужу один соблазн, в который легко свалиться. Помните колонку AUROC? На обоих “провальных” датасетах он получился 0.99 - практически как у датасетов-отличников. Заманчиво сказать: “ну вот, видите, модель всё понимает”. Так вот, это было бы передёргиванием, и я не хочу вам его продавать: как я уже оговорил во врезке выше, one-vs-rest AUROC в многоклассе структурно высок почти всегда и сам по себе не доказывает, что до baseline рукой подать. Высокий AUROC и проваленная accuracy спокойно живут вместе - и это нормально, а не парадокс.

Что AUROC говорит - так это что признаки разделимы: фундамент под капотом рабочий. Это полезный индикатор, но именно индикатор, а не пруф потенциала. Настоящее доказательство, что недобор - это вопрос полировки, а не потолка, лежит ниже: в обоих кейсах я взял ровно те же конфиги, поменял по сути одну вещь (предобучение на CIFAR, learning rate на Pets) и числом вернул большую часть отставания. Вот это - аргумент. AUROC лишь подсказал, где искать. Так же есть догадка, что агенты могли дойти до этого, если бы мы дали количество итераций побольше, но по моей изначальной задумке они должны за 3 прогона уже приходить к результату который мы хотим получить…

Разберём оба кейса по этой логике: что выбрали агенты, где именно недотянули, что показывает AUROC, и как это можно было сделать лучше. (Я не поленился и проверил экспериментально)

CIFAR-10 - accuracy 88.7% при baseline 96%, но AUROC 0.99

CIFAR-10 - это 60 тысяч крошечных картинок 32×32, 10 классов, классика, на которой baseline 96% знает каждый. Платформа сделала четыре попытки, потратила 82 минуты - и её лучший прогон дал accuracy 88.7%. Test AUROC при этом - 0.99, а F1 и precision/recall сошлись на 0.88. Но на эти 0.990 не ведёмся (см. врезку выше): недостающие 7.3 п.п. accuracy сидят не в AUROC, а в конкуренции похожих классов на argmax.

А вот что забавно: агенты всё поняли правильно. ML Researcher разложил канонический рецепт для CIFAR-10 - RandomCrop с padding, RandAugment, RandomErasing, label smoothing, длинное обучение с cosine annealing. ML Engineer собрал технически грамотный конфиг: resnet18, SGD с momentum, 200 эпох, сильные аугментации. На бумаге - всё как по учебнику. Первую попытку, к слову, агенты сделали на чуть более тяжёлой resnet32ts - та дала всего 75.6%, после чего они сознательно упростились до resnet18 как более дешёвой в инференсе и при этом более удачной.

Полный конфиг обучения (CIFAR-10)
{
  "model_params": { "type": "resnet18", "pretrained": false },
  "data_loader_params": {
    "batch_size": 128, "num_workers": 2,
    "train_transforms_config": [
      { "name": "RandomCrop", "params": { "size": [32, 32], "padding": 4 } },
      { "name": "RandomHorizontalFlip", "params": { "p": 0.5 } },
      { "name": "RandAugment", "params": {} },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.4914, 0.4822, 0.4465], "std": [0.247, 0.243, 0.261] } }
    ],
    "val_and_test_transforms_config": [
      { "name": "Resize", "params": { "size": [32, 32] } },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.4914, 0.4822, 0.4465], "std": [0.247, 0.243, 0.261] } }
    ]
  },
  "trainer_params": {
    "epochs": 200,
    "loss_fn": { "name": "CrossEntropyLoss", "params": { "label_smoothing": 0.1 } },
    "optimizer": { "name": "SGD", "params": { "lr": 0.1, "momentum": 0.9, "weight_decay": 0.0005 } },
    "scheduler": { "name": "CosineAnnealingLR", "params": { "T_max": 200, "eta_min": 1e-06 } },
    "early_stop": { "metric_name": "accuracy", "patience": 60, "min_delta": 0.0005, "mode": "max" },
    "grad_clip_norm": 1.0,
    "use_amp": true
  },
  "device": "cuda"
}

Кстати, на CIFAR заодно пригодился тот самый отдельный цикл с ML Debugging Engineer, о котором я писал выше - на одной из итераций ML Engineer сунул в аугментации RandomApply с вложенным RandomErasing, и прогон на этом упал. Debug-агент не стал гадать, а аккуратно вскрыл трейсбэк и починил ровно одну строку, не трогая остальное:

«Тип ошибки: ошибка на этапе … трансформации данных … TypeError: 'dict' object is not callable … единственный проблемный параметр … использование вложенной трансформации в RandomApply … достаточно … использовать RandomErasing напрямую.» — ML Debugging Engineer

Ровно то, ради чего этот агент и задуман: не переписать весь конфиг с перепугу, а локализовать поломку до конкретного параметра и заменить точечно. После правки обучение поехало дальше.

Видите ключевую строчку? "pretrained": false. Агенты решили обучать resnet18 с нуля. А baseline бенчмарка - это ResNet50 с предобучением на ImageNet. То есть платформа соревновалась с предобученной моделью, а пошла путём обучения с нуля на мелких 32×32 - и закономерно отстала на 7.3 п.п. по accuracy. Конфиг технически прекрасен, но стратегически на этом датасете агенты предпочли “лёгкость и дешевизну инференса” гонке за метрикой.

И вот тут высокий AUROC(0.99) расставляет всё по местам. Признаки модель развела (кошка/собака, олень/лошадь на 32×32), просто без предобучения ей не хватило тех самых последних процентов. Лечится это, по сути, одной эвристикой: “для маленьких разрешений всё равно тяни предобученную архитектуру с upscale”. Маленькая правка в логике агентов - и этот датасет с большой вероятностью переходит в зелёную зону. Потенциал не гипотетический, он измерен. И характерная деталь: сам агент списал недобор на нехватку ёмкости архитектуры (“нужна сетка потяжелее ResNet-18”), а recovery на той же resnet18 показал, что дело было не в размере модели, а в отсутствии предобучения. То есть диагноз агента был мимо, и это ещё один аргумент именно за доработку его эвристик.

И что важно - платформа не стала врать и выдавать недотянувшую модель за успех. Финальный агент честно вынес вердикт “не готова”, заодно сам проговорив ту самую ловушку с AUROC, о которой я предупреждал выше:

«Ключевое бизнес-требование accuracy ≥ 0.96 на тесте не выполнено ни одной моделью … Несмотря на … высокий AUROC (~0.99) и отсутствие серьёзного оверфита, уровень ошибки … всё ещё далёк от ожидаемого топового качества.» — ML Model Production Readiness Expert

Проверка догадки. Чтобы не быть голословным, я взял ту же resnet18 и изменил в конфиге следующее: "pretrained": false -> "pretrained": true плюс upscale 32->224 на входе. Вместе с предобучением логично сменился и режим обучения: вместо SGD с нуля на 200 эпох - мягкий AdamW (lr=5e-4) на 30 эпох и аугментации под 224 (RandomResizedCrop вместо RandomCrop по 32). То есть это не “правка одной строки”, а честная смена стратегии с “учим с нуля” на “дообучаем предобученное” - но рычаг тут именно в предобучении, остальное лишь обслуживает его. Прогнал напрямую через платформу - и test accuracy прыгнула с 88.7% до 94.5% (+5.8 п.п.), а разрыв с baseline схлопнулся с −7.3 до −1.5 п.п. - то есть датасет переезжает в зелёную зону, в пределах допуска. Перевод в transfer-режим добрал недостающее - ровно как я и предполагал по высокому AUROC. Догадка подтверждена не на словах, а числом.

Я знаю, что делаю
Я знаю, что делаю

Oxford-IIIT Pets - accuracy 88.5% при baseline 93%

37 пород кошек и собак - fine-grained классификация, где классы визуально похожи (попробуйте сами на глаз отличить две породы короткошёрстных кошек). И вот что показательно: лучшей моделью здесь у платформы оказалась её самая первая и самая простая попытка - предобученный efficientnet_b0, 88.5%. Test AUROC при этом - 0.993 (даже выше, чем у CIFAR), при F1 0.882 и kappa 0.882 - и снова это лишь индикатор разделимости, а не пруф близости к baseline. Недостающие проценты тут теряются на недокрученном режиме fine-tuning: предобученные признаки есть, но их подстройку модель провела слишком грубо.

ML Engineer выбрал лёгкую предобученную архитектуру сразу и по делу:

«Выбранная архитектура efficientnet_b0 является сильным и при этом лёгким baseline для fine‑grained классификации.» — ML Engineer

Полный конфиг обучения (Oxford-IIIT Pets)
{
  "model_params": { "type": "efficientnet_b0", "pretrained": true },
  "data_loader_params": {
    "batch_size": 64, "num_workers": 4,
    "train_transforms_config": [
      { "name": "RandomResizedCrop", "params": { "scale": [0.8, 1.0], "size": [224, 224] } },
      { "name": "RandomHorizontalFlip", "params": { "p": 0.5 } },
      { "name": "RandomRotation", "params": { "degrees": 10 } },
      { "name": "ColorJitter", "params": { "brightness": 0.1, "contrast": 0.1, "saturation": 0.1, "hue": 0.02 } },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225] } }
    ],
    "val_and_test_transforms_config": [
      { "name": "Resize", "params": { "size": [224, 224] } },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225] } }
    ]
  },
  "trainer_params": {
    "epochs": 80,
    "loss_fn": { "name": "CrossEntropyLoss", "params": { "label_smoothing": 0.05 } },
    "optimizer": { "name": "AdamW", "params": { "lr": 0.001, "weight_decay": 0.01 } },
    "scheduler": { "name": "CosineAnnealingLR", "params": { "T_max": 80, "eta_min": 1e-06 } },
    "early_stop": { "metric_name": "accuracy", "patience": 12, "min_delta": 0.001, "mode": "max" },
    "grad_clip_norm": 1.0,
    "use_amp": true
  },
  "device": "cuda"
}

Accuracy вышла 88.5% - на 4.5 п.п. ниже baseline, с переобучением +6.5 п.п. train−val. Здесь подвёл learning rate: на AdamW великоват - он слишком грубо “расталкивает” предобученные признаки, вместо того чтобы аккуратно их подстроить. И AUROC 0.993 с этим согласуется (не доказывает, а согласуется): архитектура выбрана правильно, признаки модель ухватила - недокручен режим fine-tuning, а не сама модель. Более консервативная подстройка (меньший lr, дольше обучение) почти наверняка добрала бы недостающие проценты. Это та зона, где итерациям ещё есть куда копать глубже, и где видно, что упирается всё в настройку платформы, а не в её потолок.

А дальше - самое интересное про итерации, потому что путь у агентов был не по прямой. Получив первую efficientnet_b0, они попробовали два разных хода, и оба поучительны. Сначала - лобовой “добавить регуляризации и аугментаций посильнее”, и сами же зафиксировали, что это сделало только хуже:

«усиленная регуляризация и агрессивные аугментации привели к сильному снижению качества … такая комбинация RandAugment+сильный ColorJitter для fine-grained пород избыточна и разрушает полезные признаки.» — ML Model Production Readiness Expert

Потом сменили курс на более тяжёлую и современную tf_efficientnetv2_s, рассчитывая дотянуться до 93%:

«Выбран backbone tf_efficientnetv2_s как разумный компромисс между качеством и вычислительной стоимостью: он существенно компактнее тяжёлых ConvNeXt/ViT, но заметно сильнее классического EfficientNet-B0.» — ML Engineer

Но и она дала лишь 88.1% - то есть более тяжёлая сеть так и не превзошла простую b0. Трезвый сигнал: дело тут не в размере модели, а в том самом режиме дообучения. И снова - никакого приукрашивания со стороны платформы. Финальный агент прямо назвал и недобор по целевой метрике, и переобучение, не пряча их за высоким AUROC:

«Ни одна из трёх обученных версий … не достигает целевого порога accuracy≥0.93 на тестовом сплите … Наблюдается выраженное переобучение: train≈1.0 против test≈0.88.» — ML Model Production Readiness Expert

Проверка догадки. Гипотезу про lr я тоже проверил руками, а не оставил на честном слове. Взял ту самую более тяжёлую tf_efficientnetv2_s, что пробовали агенты, те же аугментации - но learning rate спустил с 1e-3 до 2e-4, а обучение чуть длиннее (80 эпох вместо 60). Прогнал через платформу - accuracy выросла с 88.1% до 91.0% (+2.9 п.п.). Разрыв с baseline сократился до −2.0 п.п. (в пределах допуска), а переобучение просело почти вдвое (с +9.5 до ~+4 п.п. train−val). Один лишь бережный lr добрал почти три процента и заодно усмирил переобучение.

Deepfake - accuracy 98.3% при baseline 98.0%

Для дополнительной проверки я сравнил платформу с решением задачи классификации deepfake действующим Notebooks Master`ом из Kaggle(далее буду упоминать автора под его ником “MuqaddasEjaz”). Предобработка датасетов (только деление на train/val/test) выполнялась точно так же, как у MuqaddasEjaz.

Датасеты используемые для решения этой задачи:

Для начала я написал скрипт для скачивания требуемых датасетов из Kaggle и создания из датасетов единого мета-датасета в точности как в ноутбуке. И при запуске Computer Vision Dataset Analyst выявил в мета-датасете несколько проблем: больше полумиллиона картинок, но с дубликатами, утечкой между train/val/test (одни и те же изображения в разных сплитах) и шумными метками от шести разных источников. Вердикт:

«🟥 Не готов к обучению…» — Computer Vision Dataset Analyst

Скриншоты ответа аналитика данных
Агент аналитик не пустил обучаться датасет - часть 1/3
Агент аналитик не пустил обучаться датасет - часть 1/3
Агент аналитик не пустил обучаться датасет - часть 2/3
Агент аналитик не пустил обучаться датасет - часть 2/3
Агент аналитик не пустил обучаться датасет - часть 3/3
Агент аналитик не пустил обучаться датасет - часть 3/3

Но мне же интересно сравнить платформу с работой человека и посмотреть, что будет дальше. Поэтому я сознательно отключил вето аналитика и продавил обучение на свой риск - платформа это позволяет, отметив в системном логе: «Аналитик данных забраковал датасет, но проверка отключена при запуске. Продолжаем обучение на свой риск». И вот тут начинается интересная часть, которую я и хочу разобрать, что предлагали агенты и как аргументировали.

Итерация 1. ML Engineer не стал делать вид, что данные чистые - он прямо заложил риски в конфиг: взял предобученный resnet50, добавил label_smoothing=0.1 против шумных меток и набор аугментаций (включая GaussianBlur) против дубликатов и разнобоя источников. Обучение на 500k+ картинок шло примерно пять с половиной часов и дало вполне приличную модель:

«Test accuracy: 0.9833 (≈98.33%) … Test AUROC ~0.9984 … kappa ~0.967 … Модель хорошо обобщает: разрыв между train (98.59%) и val/test (≈98.3%) небольшой.» — ML Model Metrics Analyst

Полный конфиг обучения
{
  "model_params": { "type": "resnet50", "pretrained": true },
  "data_loader_params": {
    "batch_size": 64,
    "num_workers": 4,
    "dataset_id": "97e60848-c175-4409-9dd1-5882fb2ffaf4",
    "img_h_size": null,
    "img_w_size": null,
    "version_id": "ccc63255-8257-4eea-b524-81cdffa97461",
    "train_transforms_config": [
      { "name": "RandomResizedCrop", "params": { "scale": [0.6, 1], "size": [224, 224] } },
      { "name": "RandomHorizontalFlip", "params": { "p": 0.5 } },
      { "name": "ColorJitter", "params": { "brightness": 0.2, "contrast": 0.2, "saturation": 0.2, "hue": 0.05 } },
      { "name": "GaussianBlur", "params": { "kernel_size": 3, "sigma": [0.1, 1] } },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225] } }
    ],
    "val_and_test_transforms_config": [
      { "name": "Resize", "params": { "size": [224, 224] } },
      { "name": "ToTensor", "params": {} },
      { "name": "Normalize", "params": { "mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225] } }
    ]
  },
  "trainer_params": {
    "epochs": 60,
    "loss_fn": { "name": "CrossEntropyLoss", "params": { "reduction": "mean", "label_smoothing": 0.1 } },
    "optimizer": { "name": "AdamW", "params": { "lr": 0.001, "weight_decay": 0.01 } },
    "scheduler": { "name": "CosineAnnealingLR", "params": { "T_max": 60, "eta_min": 1e-06 } },
    "early_stop": { "metric_name": "accuracy", "patience": 6, "min_delta": 0.0005, "mode": "max" },
    "grad_clip_norm": 1.0,
    "use_amp": true
  },
  "device": "cuda"
}

Казалось бы - почти как у MuqaddasEjaz (~99%), бери и радуйся. Но бизнес-цель я сформулировал жёстко - «максимальный accuracy, как у конкурентов, 99%» и агент-аналитик метрик не стал округлять 98.33% в 99%:

«… по бизнес-критерию “как у конкурентов: 99% accuracy” требование не выполнено … Также нет информации, что данные/сплит/метод подсчёта метрики точно совпадают с конкурентами; без этой уверенности честная позиция - считать, что требование не достигнуто.» — ML Model Metrics Analyst

Тонкий момент, который мне понравился: аналитик не просто увидел недобор в 0.7 п.п., он сам заметил, что сравнивать вслепую некорректно (он не знает, что у “конкурентов” данные точь-в-точь).

А дальше началась погоня за метрикой. Раз 99% не взято, внешний цикл пошёл на новую итерацию, и агенты начали наращивать мощность, чтобы добрать недостающие доли процента:

  • итерация 2 - tf_efficientnet_b4 с входом 380×380;

  • итерация 3 - tf_efficientnet_b5 с входом 456×456.

Логика агентов вполне понятна: ограничений по железу я не задал, значит можно брать тяжёлые модели и разрешение повыше. Вот только на датасете в полмиллиона картинок это означает совсем другое время обучения - одна эпоха стала занимать больше восьми часов. И обе последние попытки я остановил руками: ждать 8+ часов на эпоху ради гипотетических +0.5 п.п. на датасете, который аналитик с самого начала пометил как грязный, занятие на любителя. Платформа это зафиксировала так: «Обучение остановлено пользователем … Разбираем частичные метрики, чтобы понять причину», а затем - «Работа агентов остановлена пользователем». Вы скажете, что тут нужно добавить взаимосвязь, чтоб агенты понимали причину остановки и вы совершенно правы. Если бы такая возможность была то скорее всего наши агенты начали бы искать конфигурацию для обучения с более простой моделью и подбирать под неё конфигурации, но увы этого ещё нет в платформе.

И главный вывод тут вовсе не “надо было слушаться вето”. Наоборот - я считаю 98.33% отличным результатом: платформа автономно, на сыром объединённом датасете, фактически вышла на уровень конкурента. Откуда тогда те самые 0.7 п.п. недобора? Достаточно посмотреть, чем эти 99% брали у MuqaddasEjaz - там не CNN, а ViT с кастомной головой (LayerNorm -> Dropout -> Linear(512) -> GELU -> ещё один LayerNorm/Dropout -> классификатор), то есть принципиально другой класс архитектуры и более тонко настроенная регуляризация:

# код из ноутбука MuqaddasEjaz
class ViTDeepFakeDetector(nn.Module):
    def __init__(self, num_classes=2, dropout=0.4):
        ...
        self.backbone = timm.create_model(
            CFG['model_name'], pretrained=True, num_classes=0, global_pool='token')
        self.head = nn.Sequential(
            nn.LayerNorm(feat_dim), nn.Dropout(p=dropout),
            nn.Linear(feat_dim, 512), nn.GELU(),
            nn.LayerNorm(512), nn.Dropout(p=dropout * 0.67),
            nn.Linear(512, num_classes),
        )

А наши агенты пошли проверенным путём CNN c предобучением - resnet50 и далее семейство EfficientNet. Это не хуже и не лучше, это другой инструмент под ту же задачу, и разница между ними в районе одного процента и это то, что отделяет крепкое стандартное решение от вылизанного под конкретный датасет.

Что кейс действительно подсветил - так это дырку в обратной связи, о которой я писал абзацем выше: агенты наращивали мощность (а с ней и время эпохи до 8+ часов), не понимая, что я остановил обучение не из-за плохих метрик, а из-за стоимости. Дай я им этот сигнал - они бы наверняка свернули в сторону модели полегче, а не тяжелее.

Итог:

  • На двух из пяти бенчмарк-датасетов человек не нужен вообще (с натяжкой можно сказать на трёх, если считать Food-101 с урезанным количеством данных): принёс данные - забрал модель, которая бьёт или превосходит публичный baseline. Ещё на трёх платформа отработала так же автономно - просто там есть что разобрать по метрикам. И в шестом тесте, deepfake-кейсе, где на мета-датасете из 6 датасетов платформа автономно вышла на уровень живого Kaggle-мастера, где ориентиром был уже не baseline, а человек.

  • Дефолты не стыдные. Предобученные модели, аугментации под задачу, AdamW/SGD + CosineAnnealingLR, label smoothing, early stopping, AMP - агенты собирают конфиги, которые не стыдно показать живому ML-инженеру.

  • Recovery действительно спасает. До четырёх итераций подряд: первая модель слабая - платформа не отдаёт мусор, а думает заново.

  • Адаптация стратегии на лету. На Food-101 агенты сами диагностировали переобучение прошлой попытки и сменили архитектуру.

  • Полная прозрачность. Каждое решение задокументировано и читается в UI - видно не только что выбрано, но и почему.

  • Недобор по accuracy оказался полировкой, а не потолком - и это проверено числом. На обоих “слабых” датасетах система не стала прятаться за метрику.

2 из 5 датасетов - выше публичный baseline для ResNet50 transfer learning по accuracy, причём оба уверенно. Третий “успешный” кейс - Food-101 - я сознательно гонял на урезанном датасете (100 картинок на класс). И всё это полностью автономно: от датасета до обученной модели и отчёта о качестве, с подробным логом рассуждений, который не нужно принимать на веру - его можно открыть и проверить.

А два оставшихся датасета - это не “провалы платформы”, а её зоны роста с измеренным потенциалом. И ключевое слово здесь - измеренным. Я взял каждый из двух недотянувших кейсов, поправил по одному осмысленному рычагу и точечный повторный прогон вернул большую часть отставания, загнав разрыв с baseline в разумный допуск. Это принципиально другая ситуация, чем “не работает”.

Таким образом инструмент уже сейчас закрывает типовые задачи классификации изображений “под ключ”. А прозрачность рассуждений значит, что каждый его шаг можно не только использовать, но и перепроверить - что для AutoML, на мой взгляд, важнее любой одной красивой цифры, будь то accuracy или эффектный AUROC.

Если дочитали досюда - спасибо. Платформа ещё в пути, и я буду рад вопросам и критике в комментариях.


Источники:

  1. Artificial Analysis GPT-5.1

  2. Kornblith et al., Do Better ImageNet Models Transfer Better?, arXiv:1805.08974, 2018.

Источник

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  • 28.05.26 04:01 luciajessy3

    After falling victim to a fake crypto investment platform, I lost nearly $73,000 in Ethereum. The scammers disappeared overnight, and I honestly thought my money was gone forever. A friend recommended ADAM WILSON and although I was hesitant at first, I decided to give it one last try. Their team handled my case professionally, kept me updated throughout the process, and used Blockchain tracing methods I didn’t even know were possible. Within weeks, they were able to help me recover my funds. I’m incredibly grateful for their dedication and transparency. If you’ve been scammed in crypto, don’t lose hope contact ADAMWILSON . TRADING @ CONSULTANT COM What's App / + 1 { 7 1 3 } 9 1 9 - 5 1 2 3

  • 28.05.26 09:40 kientadams11

    Lot of people have lost money to scammers in so many ways which, I have been a victim as well of over 30 thousand pounds, this scammers are smart they create fake investment website, fake recovery site to swindle people of their Bitcoin. I found recoverydarek at G (M) (A) (I) (L) on Trust pilot who was able to track, investigate and expose this scammers and re coupled my funds back to me within 24 hours.

  • 28.05.26 14:04 Frankmilton

    Losing any Scent on the dollar hurts like a bad stomach ache from eating from the wrong MaC.Donalds. This stablecoin stays near one dollar. Traders use it to swap for Bitcoin or Ethereum without big price jumps. New users pick it first for its ease. Banks hold cash reserves to back it up. Losses hit fast. A wrong wallet address sends coins to strangers. Scams on Telegram steal seed phrases. DeFi bugs or hacks drain funds. Billions vanish each year from these mistakes. Blockchains track every step. Copy your transaction hash. Check it on Etherscan. Follow the trail to the wallet or contract. [email protected] +(44 7476618364) can help. Her team hunts funds across chains. They work with exchanges and devs to get assets back. People recover thousands of assets already even after being lost for years of failed agency and fake recovery experts. also teaches safety. Spot phishing in MetaMask. Secure your Ledger. Trade safe on Binance or Uniswap. Fix rookie slips into smart habits.

  • 28.05.26 18:53 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 28.05.26 18:53 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 28.05.26 21:56 Frankmilton

    Losing any Scent on the dollar hurts like a bad stomach ache from eating from the wrong MaC.Donalds. This stablecoin stays near one dollar. Traders use it to swap for Bitcoin or Ethereum without big price jumps. New users pick it first for its ease. Banks hold cash reserves to back it up. Losses hit fast. A wrong wallet address sends coins to strangers. Scams on Telegram steal seed phrases. DeFi bugs or hacks drain funds. Billions vanish each year from these mistakes. Blockchains track every step. Copy your transaction hash. Check it on Etherscan. Follow the trail to the wallet or contract. [email protected] +(44 7476618364) can help. Her team hunts funds across chains. They work with exchanges and devs to get assets back. People recover thousands of assets already even after being lost for years of failed agency and fake recovery experts. also teaches safety. Spot phishing in MetaMask. Secure your Ledger. Trade safe on Binance or Uniswap. Fix rookie slips into smart habits.

  • 29.05.26 02:26 luciajessy3

    After falling victim to a fake crypto investment platform, I lost nearly $73,000 in Ethereum. The scammers disappeared overnight, and I honestly thought my money was gone forever. A friend recommended ADAM WILSON and although I was hesitant at first, I decided to give it one last try. Their team handled my case professionally, kept me updated throughout the process, and used Blockchain tracing methods I didn’t even know were possible. Within weeks, they were able to help me recover my funds. I’m incredibly grateful for their dedication and transparency. If you’ve been scammed in crypto, don’t lose hope contact ADAMWILSON . TRADING @ CONSULTANT COM What's App / + 1 { 7 1 3 } 9 1 9 - 5 1 2 3

  • 29.05.26 02:27 luciajessy3

    After falling victim to a fake crypto investment platform, I lost nearly $73,000 in Ethereum. The scammers disappeared overnight, and I honestly thought my money was gone forever. A friend recommended ADAM WILSON and although I was hesitant at first, I decided to give it one last try. Their team handled my case professionally, kept me updated throughout the process, and used Blockchain tracing methods I didn’t even know were possible. Within weeks, they were able to help me recover my funds. I’m incredibly grateful for their dedication and transparency. If you’ve been scammed in crypto, don’t lose hope contact ADAMWILSON . TRADING @ CONSULTANT COM What's App / + 1 { 7 1 3 } 9 1 9 - 5 1 2 3

  • 29.05.26 04:46 Frankmilton

    Losing any Scent on the dollar hurts like a bad stomach ache from eating from the wrong MaC.Donalds. This stablecoin stays near one dollar. Traders use it to swap for Bitcoin or Ethereum without big price jumps. New users pick it first for its ease. Banks hold cash reserves to back it up. Losses hit fast. A wrong wallet address sends coins to strangers. Scams on Telegram steal seed phrases. DeFi bugs or hacks drain funds. Billions vanish each year from these mistakes. Blockchains track every step. Copy your transaction hash. Check it on Etherscan. Follow the trail to the wallet or contract. [email protected] +(44 7476618364) can help. Her team hunts funds across chains. They work with exchanges and devs to get assets back. People recover thousands of assets already even after being lost for years of failed agency and fake recovery experts. also teaches safety. Spot phishing in MetaMask. Secure your Ledger. Trade safe on Binance or Uniswap. Fix rookie slips into smart habits

  • 31.05.26 10:06 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 31.05.26 10:06 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 05.06.26 18:26 edengarcia

    When most people hear the words crypto recovery service, their guard immediately goes up—and for good reason. In today’s online environment, finding a legitimate service feels like finding a needle in a haystack. Ask about trusted crypto recovery on any major forum, and you’ll be met with hostility. It’s become a cultural bias that victims often prefer filing police reports rather than seeking private help, fearing that speaking openly will only attract more scammers. But silence doesn’t bring your funds back. Website https://techyforcecyberretrieval.com Whatsapp +15617263697 The reality is harsh: Less than 10% of “recovery agencies” online are genuine. Fraudsters have mastered the art of mimicking trust. So, how do you separate the wolves from the professionals? The Golden Rule: No Upfront Fees If there is one sign that separates a scam from a legitimate operation, it is the payment model. Legitimate recovery companies never ask for upfront fees. Predatory scams will demand "processing fees," "software licenses," or "tax payments" before they lift a finger. A genuine agency knows its value lies in results, not promises. They operate on a success-based fee —typically around 10% of the recovered amount. Simply put: No recovery, no payment. Enter TechY Force Cyber Retrieval At TechY Force Cyber Retrieval, we understand why you’re skeptical. We built our model to eliminate that risk. We specialize in the fast, forensic tracking of lost crypto assets. Because we are confident in our technology and methodology, we don’t need your money to start working—we need your trust. We only get paid once you receive your crypto. How to Spot a Legitimate Partner Beyond the fee structure, keep these signs in mind: 1. Transparency: They explain how without asking for your private keys or seed phrase. 2. Realism: They don’t promise 100% success on impossible cases but offer honest assessments. 3. Speed: Time is critical in blockchain tracing. Legitimate firms act fast. Website https://techyforcecyberretrieval.com Whatsapp +15617263697 Don’t let the fear of secondary scams prevent you from seeking justice. Choose a partner who puts their money where their mouth is. TechY Force Cyber Retrieval: Fast. Secure. Success-based. Disclaimer: Always conduct your own due diligence. Legitimate firms will never ask for your wallet credentials.

  • 07.06.26 08:58 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.06.26 08:58 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.06.26 21:00 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:00 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:02 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:02 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:03 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:04 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 10.06.26 06:21 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 10.06.26 06:21 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 10.06.26 18:09 david

    Look, engaging with the authorities is a marathon, not a sprint. By methodically filing these reports, you’re not just fighting for your own funds—you’re contributing to the broader battle against crypto crime. For a deeper dive into what to do after a theft, check out [email protected] for complete guide on how to recover stolen crypto

  • 12.06.26 17:13 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.06.26 17:13 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.06.26 14:53 Freeman James

    Recently, I was scammed out of $332,000 in a fraudulent Bitcoin investment scheme. This devastating loss added significant stress to my already difficult health challenges, as I was also facing surgery expenses for cancer. Desperate to recover my funds, I spent countless hours researching and speaking with other victims. That effort led me to a Google post that revealed the excellent reputation of FundsRetriever. Only after many hours of digging and consulting others did I learn about their stellar track record. I decided to contact them because of their successful recovery history and encouraging client testimonials. I had no idea that this decision would become the turning point in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost funds. The process was complex, but FundsRetriever's commitment to using the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance, contact: 📧 [email protected] 📞 WhatsApp: +1 603 512 144 8, Telegram: @FundsRetriever

  • 14.06.26 15:37 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 14.06.26 15:37 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 14.06.26 16:34 Emmi Hakola

    I’m open about my experience with Bitcoin investment and losing money to scammers. That said, it is possible to recover stolen Bitcoin. I used to think recovery was impossible because that’s what I had been told. But last October, I fell for a forex scam promising extremely high returns and ended up losing nearly $87,600. After searching for help for a month, I came across a Reddit article about recovering stolen cryptocurrency. I reached out to the contact provided: [email protected] and WhatsApp +19852969146. I was scared and skeptical, having heard many bad stories, but I decided to give them a try. To my amazement, I got all my stolen Bitcoin back within a very short time. I’m not sure if I’m allowed to post links here, but you can reach out to them if you also need help.

  • 14.06.26 16:53 James willson

    I lost $328,650 to a fraudulent website that claimed to be a legitimate investment platform offering high returns. I was drawn in by the desire to earn more for myself and my family. Unfortunately, by the end of 2024, I realized it was a scam when the broker stopped responding to my emails and messages. A colleague then introduced me to ResQPro Firm, and to my surprise, they were able to trace and recover my stolen funds. Contact them at: resqprofirm AT AOL dot com | WhatsApp: +1 985 296 9146 | Telegram: ResQproFirm

  • 14.06.26 19:38 riley777

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  • 15.06.26 06:12 Evan Garrison

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  • 15.06.26 06:25 Glenn robble

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  • 15.06.26 06:34 Sallymarch

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  • 15.06.26 06:38 Sallymarch

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  • 15.06.26 06:41 Ewaguz

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  • 15.06.26 12:49 Jason

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  • 15.06.26 12:56 Hillary

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  • 15.06.26 13:03 Feliksa Stegniy

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  • 15.06.26 13:05 James willson

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  • 15.06.26 13:06 Tansy

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  • 15.06.26 13:08 Sarahy billy

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  • 15.06.26 13:12 Cole donald

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  • 15.06.26 13:16 Meral Yetkiner

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  • 15.06.26 13:18 Silas Olsen

    A fraudulent investment scheme operated by BTCMining.limited functions as a fake return scam. In this setup, scammers lure victims with false promises of high returns. Through manipulative tactics, they gain individuals' trust and convince them to invest, ultimately leading to financial loss. If you have ever faced a cyber threat or fallen victim to an online crypto scam and need to reach the authorities, I recommend contacting [email protected]. They are a legitimate team that helps victims of online crypto scams using advanced tools.

  • 15.06.26 13:59 Ewaguz

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  • 15.06.26 14:16 Martina k.

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  • 15.06.26 14:18 Garrison Good

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  • 15.06.26 14:22 Sallymarch

    Never grant API keys with withdrawal permissions to any third-party software. This is how crypto arbitrage bots steal your funds. If you have already done this, revoke all API keys immediately. Then check your exchange transaction history. CryptoArb AI drained €7,800 from my account within hours. FundsRetriever reverse-engineered the bot's code, traced the scammer's wallet, and recovered everything. Always use "read-only" API permissions only. If you made the mistake, act fast. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 14:23 Glennrobble

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  • 15.06.26 14:25 Evan Garrison

    Cloud mining contracts are almost always too good to be true. I learned that the hard way with MineMax. First two months, small daily payouts. Then "maintenance fees" ate everything. Then my account was frozen. Then the website disappeared. I was heartbroken. FundsRetriever traced my payments through three shell companies to a real bank account. They froze it and got my €11,000 back. Recovery is possible even from complex scams. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 14:26 Ewaguz

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  • 15.06.26 16:34 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.06.26 16:34 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.06.26 16:41 Louane Mercier

    It is crucial to act quickly and consult a reputable, experienced recovery specialist who will support you throughout the entire recovery process. You must provide them with transaction evidence, scammer information, and any other relevant details that could aid the investigation. With this data, the experts can trace and attempt to recover your funds from the scammers' concealed accounts or wallets. R£sQprofirm company offers recovery assistance with no upfront fees. Contact them via Telegram (@ResQprofirm), WhatsApp (+19852969146), or email ([email protected]).

  • 15.06.26 16:45 Andrés Montero

    I’m open about my experience with Bitcoin investment and losing money to scammers. That said, it is possible to recover stolen Bitcoin. I used to think recovery was impossible because that’s what I had been told. But last October, I fell for a forex scam promising extremely high returns and ended up losing nearly $87,600. After searching for help for a month, I came across a Reddit article about recovering stolen cryptocurrency. I reached out to the contact provided: [email protected] and WhatsApp +19852969146. I was scared and skeptical, having heard many bad stories, but I decided to give them a try. To my amazement, I got all my stolen Bitcoin back within a very short time. I’m not sure if I’m allowed to post links here, but you can reach out to them if you also need help.

  • 15.06.26 16:48 Olivia Sørensen

    Several months ago, investing in Bitcoin proved to be one of my most lucrative endeavors. I achieved considerable profits across multiple platforms and felt a strong sense of accomplishment. Unfortunately, the situation deteriorated when I inadvertently engaged with a fraudulent Bitcoin platform. This entity swindled me out of $92,000 USD, refused to honor my withdrawal requests, and persistently demanded further deposits. Fortunately, I encountered (R£SQPRO FIRM) online. After reporting my case to them, they acted promptly and effectively recovered my lost Bitcoin. I am sincerely grateful for their professionalism and continuous assistance. Contact: ResQprofirm AT aol.com, Telegram @resqprofirm, WhatsApp +1 9 8 5 2 9 6 9 1 4 6.

  • 15.06.26 16:51 Viljar Yohannes

    I'm willing to share my experience with Bitcoin investment and losing money to scammers. But yes, recovering stolen Bitcoin is possible. I never believed in Bitcoin recovery myself, because I was told it couldn't be done. Then, last October, I fell for a forex scam that promised unrealistically high returns, and I ended up losing nearly $70,000. I searched for help for about a month until I finally found a Reddit article about recovering stolen cryptocurrency. I reached out to the contact mentioned: [RESQPROFIRM [at] AOL DOT com] and [WhatsApp +19852969146]. I was scared and skeptical because I'd heard horror stories, but I decided to give them a try. To my surprise, I got all my stolen Bitcoin back from the scammers in a very short time. I'm not sure if I'm allowed to post links here, but you can contact them if you need help too.

  • 15.06.26 16:58 Guimar da Rosa

    Withdrawal troubles shouldn’t stress you out. I faced a similar problem, and this firm stepped in and recovered my funds. Their support truly mattered. Contact them: [ResQProFirm @aol.com] telegram @resqprofirm, WhatsApp: <+198> <5296> <9146>.

  • 15.06.26 17:03 Andrea Escalante

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  • 16.06.26 11:40 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.06.26 11:43 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.06.26 13:37 Felix Steve

    MY CRYPTO WAS STOLEN – HERE'S HOW I GOT IT BACK I'm Felix Steve from Canada, and I lost $115,000 USDC to a fraudulent broker who locked me out of my wallet. After sleepless nights, a friend told me about RESQPROFIRM Recovery Service. I sent them my wallet addresses, transaction history, and chat logs. Their team used blockchain tracking to trace the stolen funds, identified the scammer's wallet, and froze the assets before they could be moved. Within 24 hours, most of my crypto was recovered. I can't thank them enough. If you need help, reach out via WhatsApp: +19852969146, email: [email protected], or TG: @resqprofirm.

  • 16.06.26 13:45 Wills ben

    SUCCESSFUL CRYPTO SCAM RECOVERY – HOW I REGAINED ACCESS TO MY LOST WALLET My name is Felix Steve, and I'm from Canada. I'm sharing my story to help others who have fallen victim to crypto fraud. A few months ago, I was lured into a fake investment scheme promoted by a broker company. With Bitcoin prices climbing, I invested heavily—only to lose $115,000 USDC when the broker locked me out of my wallet and assets. It was a harrowing experience that left me sleepless and desperate. Crypto scams are on the rise, often involving bogus trading platforms, phishing, and misleading promises. In my search for help, a fellow crypto enthusiast recommended RESQPROFIRM Recovery Service, which specializes in recovering lost or stolen funds. After checking their reviews, I reached out and supplied all the evidence—wallet addresses, transaction records, and communication logs. Their team responded immediately and launched an investigation. Using advanced blockchain tracking, they traced the stolen funds, pinpointed the scammer's wallet, and worked with authorities to freeze the assets in time. Remarkably, within just 24 hours, RESQPROFIRM recovered the bulk of my stolen crypto. I was overwhelmed with relief and gratitude. Their professionalism, transparency, and steady communication made all the difference during a very dark period. If you've been scammed, I wholeheartedly recommend contacting them via WhatsApp: +19852969146, email: [email protected], or Telegram: @resqprofirm.

  • 18.06.26 13:31 Noemi Bernard

    I never expected such outstanding results. The outcome far exceeded my expectations, and I am extremely satisfied with the successful recovery of my stolen funds totaling $49,360 from my blockchain wallet. I hold this team in the highest regard. Without a doubt, they are among the most dedicated professionals in the field of fund recovery. Keep up the exceptional work! Email: [email protected] WhatsApp: +1 985 296 9146

  • 18.06.26 13:35 Carter Morris

    My experience improved significantly thanks to ResQprofirm's expert assistance and attentive customer care. Their professionalism was evident every step of the way they were able to track and recover my stolen crypto $88,360, email: [email protected], WhatsApp +19852969146.

  • 18.06.26 13:40 Kuybida Andriyiv

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  • 20.06.26 14:57 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 20.06.26 14:57 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 21.06.26 11:09 Maurizio Rolland

    I would like to express my sincere appreciation to RESQPRO FIRM for their outstanding assistance in helping victims of online fraud. Many scammers deceive investors by blocking withdrawals and continuously demanding additional deposits, making the loss of hard-earned funds a painful experience. Fortunately, RESQPRO FIRM provides support to individuals seeking to recover funds lost to fraudulent online schemes. Contact: Email: RESQPRO FIRM at Gmail Telegram: RESQPROFIRM, [email protected], WhatsApp: +1 985 296 9146

  • 21.06.26 11:13 Buse Fahri

    It is important for more people to stand together in the fight against online fraud. Those who target innocent individuals especially vulnerable people such as seniors should be held fully accountable for their actions. Every effort to raise awareness and support victims makes a meaningful difference. The team at RESQPRO FIRM is committed to helping expose fraudulent schemes and assisting those affected by online scams. Their dedication, persistence, and passion for protecting victims are truly commendable. I sincerely appreciate the hard work and commitment shown toward this mission. Together, we can continue to educate others, support victims, and work toward a safer online environment for everyone. Contact Information: Telegram: RESQPROFIRM WhatsApp: +1 985 296 9146 Email: [email protected], [email protected]

  • 21.06.26 11:16 علیرضا گلشن

    The successful recovery of my stolen funds, totaling $1,310,000, would not have been possible without your unwavering support, dedication, and tireless efforts. I am truly grateful for the opportunity to work with such a skilled and professional team. From the very beginning, I had confidence in your ability to handle this challenging situation, and you exceeded my expectations by delivering remarkable results. Your expertise, persistence, and commitment throughout the process were exceptional. I encourage you to continue maintaining the high standards of professionalism and excellence that distinguish your work. You exemplify the qualities of a trustworthy, dedicated, and hardworking professional, and your efforts deserve sincere recognition and appreciation. Contact: Email: [email protected], [email protected], Telegram: Resqprofirm WhatsApp: +1 985 296 9146

  • 22.06.26 21:51 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 22.06.26 21:51 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 24.06.26 01:25 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +1603512144 8| Telegram: @Fundsretriever

  • 24.06.26 01:27 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever

  • 24.06.26 01:28 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever.

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 14:16 Universina da Mota

    Becoming a victim of an investment scam is never anyone's intention it often happens because fraudsters exploit trust and a lack of awareness. I would like to express my sincere gratitude to the dedicated team at ResQpro for their professionalism and commitment to helping victims of online investment fraud. Their efforts in assisting individuals with the recovery of stolen assets and holding scammers accountable are truly commendable. If you need assistance or would like to learn more, you can contact them through: Email: [email protected] Alternative Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 14:21 Elizabeth Thompson

    If you believe you have been the victim of an investment scam, it is important to act promptly and gather all relevant information. Keep records of transaction receipts, wallet addresses, communication logs, account details, and any other evidence related to the incident. Providing accurate documentation can help investigators, financial institutions, legal professionals, or recovery specialists review your case and determine what options may be available. Be cautious of anyone who guarantees the recovery of lost funds or requests large upfront payments. For additional information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 15:33 Júlia Castro

    If you have fallen victim to an investment scam, it is important to act quickly and gather all available evidence related to the incident. This may include transaction records, wallet addresses, screenshots of conversations, emails, account details, and any information connected to the individuals or entities involved. Having complete documentation can help professionals assess your situation and explore possible recovery options. Always exercise caution when seeking assistance and carefully verify the credentials of any service provider before proceeding. For further information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 25.06.26 21:13 Emilie Safi

    A fraudulent investment scheme operated by BTCMining.limited functions as a fake return scam. In this setup, scammers lure victims with false promises of high returns. Through manipulative tactics, they gain individuals' trust and convince them to invest, ultimately leading to financial loss. If you have ever faced a cyber threat or fallen victim to an online crypto scam and need to reach the authorities, I recommend contacting [email protected], [email protected], WhatsApp +19852969146, telegram @resqprofirm. They are a legitimate team that helps victims of online crypto scams using advanced tools.

  • 25.06.26 21:25 Emilie Safi

    So I ended up losing $38,000 to this platform. At first, they kept asking me to put in more money so I could get into my portfolio. I did that, but then they wouldn’t let me withdraw anything—just kept asking for more deposits. It got way too suspicious, so I stopped. I found this company called ResQProfirm on Google and told them what happened. They got in touch, asked me to walk them through everything, and I gave them all the proof I had. They did an amazing job tracking down my money and getting it back. Big thanks to them at [email protected] and on WhatsApp at +19852969146. Please be careful out there and always research before investing.

  • 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 02:48 Miriam Rocha

    I trusted this platform with $120,000 of my hard-earned money. Then they started asking for more deposits just so I could access my own portfolio. I paid, but every withdrawal request was denied. They kept pushing for more money. I finally stopped it just felt wrong. Desperate, I found ResQProfirm on Google. They didn't just hear me out; they truly listened. I shared all my proof, and they launched an investigation. Thanks to their hard work, they tracked and returned my funds. From the bottom of my heart, thank you to [email protected] and their WhatsApp +19852969146. Please stay safe and always verify a platform before investing

  • 02:52 Miško Bakić

    I got my $232,000 refund thanks to [email protected] and WhatsApp +19852969146. Highly recommended for anyone in a similar situation.

  • 02:56 Asunción Herrera

    A recovery of $48,330 was facilitated by [email protected]. Individuals who have experienced financial fraud may consider contacting this service.

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