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.
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
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
Code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"
Cartographic web application to track moving objects equipped with a GPS.
Portail web d'inventaire citoyen de la biodiversité à destination du grand public
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)
Add a description, image, and links to the wildlife topic page so that developers can more easily learn about it.
To associate your repository with the wildlife topic, visit your repo's landing page and select "manage topics."