healthonrails/annolid
An annotation and instance segmentation-based multi-object tracking and behavior analysis package.
Annolid helps scientists and researchers analyze animal behavior in videos. It takes raw video footage and produces detailed tracking data for individual animals, along with classifications of their behaviors, even when they interact or are partially hidden. This tool is designed for biologists, ethologists, and neuroscientists studying complex animal movements and interactions.
Available on PyPI.
Use this if you need to precisely track multiple animals or research targets in video and classify their behaviors without needing to attach physical markers.
Not ideal if your primary goal is simple object counting or if you require tracking inanimate objects where advanced segmentation and behavioral classification are not relevant.
Stars
56
Forks
10
Language
Python
License
—
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
Dependencies
44
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curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/healthonrails/annolid"
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