How to Use LabelMe: A Complete Guide
Blog post from Roboflow
LabelMe is an open-source image annotation tool that enables users to annotate images and videos for computer vision tasks such as object detection, instance segmentation, semantic segmentation, and classification. Originally inspired by MIT's web annotation tool, LabelMe provides a graphical interface where annotations can be made using various shapes like polygons and rectangles. Although the hosted web interface is no longer available to new users, the tool can be installed using Python across multiple operating systems. Once installed, images can be uploaded and annotated, with annotations saved in a proprietary format that may need conversion for use in training computer vision models. The guide also suggests utilizing Roboflow for converting and managing datasets, and highlights alternative annotation tools for comparison.
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