PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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Updated
May 21, 2024 - Jupyter Notebook
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Tools for detecting wildlife in aerial images using active learning
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Portail web d'inventaire citoyen de la biodiversité à destination du grand public
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Cartographic web application to track moving objects equipped with a GPS.
Everything I know about machine learning and camera traps.
Realtime BirdNET soundscape analyzer
Outil d'import de données entre instances GeoNature (côté client)
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).
The Billion Oyster Project Digital Platform captures oyster restoration data and supports restoration education with curriculum and tools for research.
Frontend of OH!SHOWN 野生動物出沒痕跡通報系統 ohshown.site . Built with Vue.js. For backend please checkout https://github.com/OH-SHOWN/ohshown-backend
ecoSecrets is a web application which enables users to manage their camera traps data
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.
R package for camera trap data management
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