labelme and label-tool
These tools are competitors, as both offer image annotation with polygon and rectangle support, but Labelme provides a broader set of annotation shapes and AI assistance, while Label-tool emphasizes web-based accessibility.
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 label-tool
Slava/label-tool
Web application for image labeling and segmentation
This web application helps you precisely mark and categorize specific objects or regions within images, which is critical for training computer vision models. You upload images, then use a drawing interface to outline objects with bounding boxes or detailed polygons, and fill out forms to add descriptive labels. The output is structured data that describes your images and their marked features. This tool is ideal for data scientists, AI researchers, or anyone preparing image datasets for machine learning.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work