labelme and annotate-lab

These two tools are competitors, both offering image annotation for creating machine learning datasets, with LabelMe providing a more established, feature-rich solution including AI-assisted annotation, while Annotate-lab presents itself as a newer, intuitive alternative.

labelme
76
Verified
annotate-lab
59
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 15,641
Forks: 3,648
Downloads:
Commits (30d): 130
Language: Python
License: GPL-3.0
Stars: 125
Forks: 28
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
No Package No Dependents
No Package No Dependents

About labelme

wkentaro/labelme

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

Built with Qt for its GUI, labelme stores annotations as JSON files and supports exporting to VOC and COCO dataset formats for segmentation and detection tasks. It integrates SAM/EfficientSAM models for AI-assisted polygon generation and YOLO-world/SAM3 for text-prompted annotations, enabling efficient dataset creation workflows for computer vision projects.

About annotate-lab

sumn2u/annotate-lab

Annotate-lab is an open-source image annotation tool for efficient dataset creation. With an intuitive interface and flexible export options, it streamlines your machine learning workflow. 🖼️✏️📑

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