PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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Updated
Aug 21, 2024 - Jupyter Notebook
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Tools for detecting wildlife in aerial images using active learning
Realtime BirdNET soundscape analyzer
Everything I know about machine learning and camera traps.
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MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
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).
Hypraptive BearID project. FaceNet for bears.
A desktop application that makes using MegaDetector's model easier
R package for camera trap data management
AI-Powered Camera-Trap Image Processing
Cartographic web application to track moving objects equipped with a GPS.
Portail web d'inventaire citoyen de la biodiversité à destination du grand public
Code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"
ecoSecrets is a web application which enables users to manage their camera traps data
Distance Estimation for Estimating Animal Abundance
Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)
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