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AI/ML

Multimodal Labeling

Text, images and audio, with review built in

A Rust + React labeling platform with configurable schemas, multi-annotator agreement and optional model-assisted pre-labeling. One Docker image to self-host.

Source22 stars on GitHub(opens in a new tab)
Role
Creator & Maintainer
Period
2020 – 2026.11
Status
Completed
Theme
AI, vision & medical imaging
Multimodal Labeling, screenshot 1

Overview

A Rust + React labeling platform with configurable schemas, multi-annotator agreement and optional model-assisted pre-labeling. One Docker image to self-host. Rewritten from the original Flask application in 2026, keeping annotation, review and export in one workspace.

Results

  • 2026 Rust and React rewrite with import, annotation, review and export

Features

  • Configurable schemas for text, image and audio classification
  • Multi-annotator agreement statistics
  • Optional model-assisted pre-labeling and built-in login
  • Single-image Docker deployment
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  • AI, vision & medical imaging4040 stars on GitHub

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    2018Completed
  • AI, vision & medical imaging11 stars on GitHub

    Street Scene OCR

    Compare EasyOCR, RapidOCR and PaddleOCR on Traditional Chinese street signs, with text boxes, timings and a small public-domain benchmark.

    2026Completed