MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
-
Updated
May 25, 2024 - Jupyter Notebook
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
This repo is a demonstration of the workflow of the paper: The Use of Computational Fingerprinting Techniques to Distinguish Sources of Accelerants Used in Wildfire Arson
Everything I know about machine learning and camera traps.
Où ça ? - An app for naturalists to manage and view their wildlife observations.
Realtime BirdNET soundscape analyzer
Code for training and evaluating a detector for the USGS Izembek goose survey dataset
AI-Powered Camera-Trap Image Processing
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
hypraptive blog
Prairie Paws+Claws Website
Distance Estimation for Estimating Animal Abundance
ecoSecrets is a web application which enables users to manage their camera traps data
Outil d'import de données entre instances GeoNature (côté client)
A TypeScript wrapper for the Xeno Canto API
This is a unique and responsive website on Sri Lankan Wildlife that I created as my degree module's final project for Web Development and Application Modeling. The main structural components of this website are HTML and CSS; JS was only utilized when needed.
This repository displays IIT/UoW Web Design coursework, including an interactive gallery, SVG sitemap, wildlife blog, and a personal editor.
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?"
R package for camera trap data management
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."