LabelU
LabelU is an open-source platform for annotating images, video, and audio.
What LabelU is
LabelU is an open-source platform for annotating images, video, and audio. Image work can include 2D bounding boxes, semantic segmentation, polylines, and keypoints; video and audio tools support segmentation, classification, and information extraction. Users can load pre-annotated data and adjust it. For images, AI services can detect and segment objects, run batch annotation, and report progress in real time. Reference servers are provided for Florence-2, GroundingDINO with SAM ViT-B, and SAM 3. Files can be imported from S3-compatible storage such as AWS S3 and MinIO, and listed export formats include JSON, COCO, and MASK. LabelU is available through an online instance and browser toolkit, or can be installed locally with pip and run at localhost:8000. Local setup specifies Python 3.11, SQLite by default, and optional MySQL. The project is published under the Apache 2.0 license by OpenDataLab. Reference model requirements include about 4 GB of memory for Florence-2 and GroundingDINO with SAM ViT-B, and about 8 GB for SAM 3, which also requires CUDA 12.6 or later.
Good
- Covers image, video, and audio annotation.
- Supports JSON, COCO, and MASK exports.
- Imports from AWS S3 and MinIO.
- Optional MySQL database support.
- Apache 2.0 licensed.
Watch out
- Local setup specifies Python 3.11.
- SAM 3 requires CUDA 12.6 or later.
- Reference model memory requirements reach about 8 GB.
Who it suits
LabelU suits teams annotating image, video, or audio data, including those who want to refine pre-annotations or use image AI assistance. It offers browser access and a locally installed option.
Verdict
LabelU brings several media types and image AI annotation into one open-source project. Check the local installation and reference model requirements against your setup before choosing how to run it.
The facts
Each one read from LabelU's own pages, with the date it was checked.
What it does
- 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.checked 8 Oct 2001
- AI auto-annotation
- AI services can automatically detect and segment image objects, with batch annotation and real-time progress tracking.checked 9 Oct 2001
- AI model options
- The project provides reference servers for Florence-2, GroundingDINO with SAM ViT-B, and SAM 3.checked 9 Oct 2001
- 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.checked 9 Oct 2001
- Audio annotation
- Audio tools support segmentation, classification, and information extraction.checked 9 Oct 2001
- Database option
- SQLite is the documented default database, and MySQL support is available as an optional installation.checked 9 Oct 2001
- Deployment
- LabelU can be installed locally with pip and run at localhost:8000; the README specifies Python 3.11.checked 8 Oct 2001
- Export formats
- The project says it supports exporting annotation data in JSON, COCO, and MASK formats.checked 9 Oct 2001
- Image annotation
- Image tools include 2D bounding boxes, semantic segmentation, polylines, and keypoints.checked 9 Oct 2001
- Image tools
- Image annotation includes 2D bounding boxes, semantic segmentation, polylines, and keypoints.checked 8 Oct 2001
- License
- The repository states that LabelU is released under the Apache 2.0 license.checked 9 Oct 2001
- Online access
- The maker links to an online LabelU instance and a browser based annotation toolkit.checked 8 Oct 2001
- Pre-annotations
- Users can load pre-annotated data and refine or adjust it.checked 9 Oct 2001
- Purpose
- LabelU is a multimodal data annotation platform for image, video, and audio tasks.checked 9 Oct 2001
- 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.checked 9 Oct 2001
- Storage integration
- LabelU can import data from S3-compatible object storage, including AWS S3 and MinIO.checked 9 Oct 2001
- Support channel
- The README invites users to join the OpenDataLab official WeChat group.checked 8 Oct 2001
- Video and audio
- The maker describes video and audio annotation for segmentation, classification, and information extraction.checked 8 Oct 2001
- Video annotation
- Video features include segmentation, classification, and information extraction.checked 9 Oct 2001
The company
- Maker
- The LabelU repository is published under the OpenDataLab GitHub organization.checked 9 Oct 2001
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