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.
This tool helps data annotators efficiently label objects and regions within images or video frames for machine learning tasks. You input raw images or video, and it outputs detailed annotations saved as JSON files, outlining specific shapes like polygons, rectangles, circles, lines, or points. It's designed for anyone preparing visual datasets for training computer vision models.
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. 🖼️✏️📑
This tool helps researchers and data scientists efficiently label images for machine learning projects. You can upload raw images, draw bounding boxes or masks around objects, and then export these images with their corresponding annotations. It's designed for anyone who needs to create structured datasets from images for training AI models.
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