PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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Updated
Mar 31, 2026 - Python
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Tools for detecting wildlife in aerial images using active learning
A Raspberry Pi camera system with a live video feed, motion detection system, H.264 mp4 recording capabilities and a storage management system with support for remote storage. The recorder supports pre-motion frame recording and no internet environments (e.g. Wildlife cameras).
Code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"
Hypraptive BearID project. FaceNet for bears.
Distance Estimation for Estimating Animal Abundance
🐦 AI-powered bird identification for Frigate NVR. Classifies birds from your feeder camera using TensorFlow Lite and displays them in a real-time dashboard.
Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)
Universal Chimpanzee Face Embedding
Code for training and evaluating a detector for the USGS Izembek goose survey dataset
The Image Level Label to Bounding Box (IL2BB) pipeline automates the generation of labeled bounding boxes by leveraging an organization’s previous labeling efforts.
Determine the 🐦 from its 🎵
Outil d'import de données entre instances GeoNature (côté client)
Open-source wildlife detection, segmentation & tracking in video.
🐦 OpenClaw skill — Live bird detection with YOLOv11 + Moondream VLM species ID. Real-time annotated video stream to any device.
A Python package to download and interact with the CITES trade database
Code and supplementary material for "SOCRATES: Introducing Depth in Visual Wildlife Monitoring using Stereo Vision" (WIP)
Low latency web streaming and motion-triggered surveillance / security / wildlife camera control application for Raspberry Pi that supports some of the basic features of RPI_Cam_Web_Interface.
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