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.
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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