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synthetic-dataset

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The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.

  • Updated Jul 16, 2025
  • Python

Detects7 is a lightweight object-detection demo built using YOLOv8, featuring a FastAPI backend and a React + Vite frontend. Trained on the Falcon synthetic dataset, it identifies seven safety-related object classes and includes tools for training, evaluation, visualization, and local deployment.

  • Updated Nov 26, 2025
  • JavaScript

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