LabelU is a multimodal data annotation platform designed for researchers and engineers working with image, audio, and video data. It provides a comprehensive suite of tools and efficient workflows to streamline the annotation process for complex data analysis and model training.

How It Works

LabelU offers versatile annotation tools for images (2D bounding boxes, segmentation, keypoints), video (segmentation, classification, information extraction), and audio (segmentation, classification, information extraction). It supports AI-assisted labeling by allowing the loading and refinement of pre-annotated data, significantly boosting efficiency and accuracy. The platform emphasizes flexibility through tool combination and universality via support for multiple export formats like JSON, COCO, and MASK.

Quick Start & Requirements

• Installation: Install via pip: pip install labelu. For MySQL support: pip install labelu[mysql].
• Prerequisites: Python 3.11, Conda (Miniconda recommended).
• Running: Execute labelu in the activated Conda environment.
• Resources: Local deployment requires Conda installation and environment setup.
• Links: LabelU-kit, Documentation, Citation

Highlighted Details

• Supports image, video, and audio annotation.
• AI-assisted labeling for improved efficiency.
• Exports to common formats: JSON, COCO, MASK.
• Web-based frontend annotation kit (LabelU-kit) available.

Maintenance & Community

The project is part of the OpenDataLab ecosystem, which includes tools like LabelLLM and Miner U. Community communication is available via a WeChat group.

Licensing & Compatibility

• License: Apache 2.0.
• Compatibility: Permissive license suitable for commercial use and integration with closed-source projects.

Limitations & Caveats

The README mentions a labelu-kit repository for frontend static assets, implying a separation between backend and frontend development that might require additional setup or management for local development. Migration from SQLite to MySQL is supported for users upgrading from v1.x.