microsoft/CameraTraps
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
This project helps wildlife conservationists and researchers quickly sort through vast numbers of camera trap images. It takes raw images from wildlife cameras and identifies if animals are present, and then classifies them by species. This dramatically speeds up the process of monitoring wildlife populations and understanding animal behavior in natural habitats.
989 stars.
Use this if you need to efficiently process large collections of camera trap photos to detect and classify wildlife for conservation or research purposes.
Not ideal if your primary goal is to analyze audio recordings or underwater footage, as those features are planned for future updates.
Stars
989
Forks
290
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/microsoft/CameraTraps"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
TheCacophonyProject/classifier-pipeline
Exports tracked animals through thermal vision.
agentmorris/MegaDetector
MegaDetector is an AI model that helps conservation folks spend less time doing boring things...
PetervanLunteren/AddaxAI
Simplify camera trap image analysis with AI species recognition models based around the...
maxsitt/insect-detect
Detection models and Python scripts for automated insect monitoring with the Insect Detect DIY...
ahmetozlu/color_recognition
:art: Color recognition & classification & detection on webcam stream / on video / on single...