WildEyeConservation/TrapTagger
AI-Powered Camera-Trap Image Processing
This tool helps wildlife researchers and ecologists efficiently process the vast number of images captured by camera traps. It takes raw camera trap photos and uses AI to automatically identify and classify Southern African wildlife species, significantly reducing the manual effort needed for annotation and organization. This allows conservationists to quickly analyze wildlife populations and focus on their research.
Use this if you are a wildlife conservationist or ecologist managing large datasets of camera trap images and need an efficient way to identify species and organize your data.
Not ideal if you primarily work with species outside of Southern Africa or require image analysis for purposes other than wildlife identification, such as habitat assessment.
Stars
44
Forks
3
Language
JavaScript
License
Apache-2.0
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/WildEyeConservation/TrapTagger"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
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...
microsoft/CameraTraps
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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...