📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.
-
Updated
Jan 24, 2023 - Python
📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.
A frontend web app for viewing & labeling camera trap data by The Nature Conservancy.
Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)
🐾🌳 Wildlife conservation is essential for preserving endangered species and their habitats, ensuring a stable environment for future wildlife generations.
[ICCV2019] Challenge - Computer Vision for Wildlife Conservation Solution
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
An Open-source Tool to Guide Decisions for Wildlife Conservation
This is repository containing a full pipeline (from annotation to training) for building an orangutans detector.
CAMCALT (Complex Animal Movement Capture and Live Transmission) is a forest surveillance and monitoring system designed to capture complex animal movements and provide live video feed wirelessly from any part of the world. It aims to prevent hunting and poaching, enhancing forest security.
Documenting amphibian trade into the United States
MegaDetector Desktop: Simple Interface for Detection of Humans, Animals and Vehicles in Camera Trap Imagery
Spatially-Distributed Temporally-Synchronised Infrasonic Recorder
Monitor endangered wildlife and assess potential threats using autonomous drones
This repository displays IIT/UoW Web Design coursework, including an interactive gallery, SVG sitemap, wildlife blog, and a personal editor.
Spatio-temporal wildlife management Gymnasium RL Environment created and trained on for my Master's thesis
National Parks & Wildlife Sanctuary in Forest Conservation- A Responsive Website
Python library for downloading Animal tracking data from Anitra and Movebank platforms.
Sample implementation of the Anitra data API client.
Using computer vision to identify species in wildlife camera trap images to automate the dataset labeling process.
Add a description, image, and links to the wildlife-conservation topic page so that developers can more easily learn about it.
To associate your repository with the wildlife-conservation topic, visit your repo's landing page and select "manage topics."