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On the recordRead 9 Oct 202620 facts
LabelU
On the record
- AI annotation
- Image AI auto-annotation supports batch tasks and real-time progress, with reference servers for Florence-2, GroundingDINO plus SAM ViT-B, and SAM 3.github.com · read 8 Oct 2026
- AI auto-annotation
- AI services can automatically detect and segment image objects, with batch annotation and real-time progress tracking.github.com · read 9 Oct 2026
- AI model options
- The project provides reference servers for Florence-2, GroundingDINO with SAM ViT-B, and SAM 3.github.com · read 9 Oct 2026
- AI resource limits
- The reference AI models list minimum memory requirements of about 4 GB for Florence-2 and GroundingDINO with SAM ViT-B, and about 8 GB for SAM 3; SAM 3 requires CUDA 12.6 or later.github.com · read 9 Oct 2026
- Audio annotation
- Audio tools support segmentation, classification, and information extraction.github.com · read 9 Oct 2026
- Database option
- SQLite is the documented default database, and MySQL support is available as an optional installation.github.com · read 9 Oct 2026
- Deployment
- LabelU can be installed locally with pip and run at localhost:8000; the README specifies Python 3.11.github.com · read 8 Oct 2026
- Export formats
- The project says it supports exporting annotation data in JSON, COCO, and MASK formats.github.com · read 9 Oct 2026
- Image annotation
- Image tools include 2D bounding boxes, semantic segmentation, polylines, and keypoints.github.com · read 9 Oct 2026
- Image tools
- Image annotation includes 2D bounding boxes, semantic segmentation, polylines, and keypoints.github.com · read 8 Oct 2026
- License
- The repository states that LabelU is released under the Apache 2.0 license.github.com · read 9 Oct 2026
- Maker
- The LabelU repository is published under the OpenDataLab GitHub organization.github.com · read 9 Oct 2026
- Online access
- The maker links to an online LabelU instance and a browser based annotation toolkit.github.com · read 8 Oct 2026
- Pre-annotations
- Users can load pre-annotated data and refine or adjust it.github.com · read 9 Oct 2026
- Purpose
- LabelU is a multimodal data annotation platform for image, video, and audio tasks.github.com · read 9 Oct 2026
- Self-hosting
- The README gives local installation steps using Python 3.11, pip, and a local server at localhost:8000, with Windows Anaconda Prompt instructions and a macOS Intel note.github.com · read 9 Oct 2026
- Storage integration
- LabelU can import data from S3-compatible object storage, including AWS S3 and MinIO.github.com · read 9 Oct 2026
- Support channel
- The README invites users to join the OpenDataLab official WeChat group.github.com · read 8 Oct 2026
