A frontend web app for viewing & labeling camera trap data by The Nature Conservancy.
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Updated
Dec 28, 2024 - JavaScript
A frontend web app for viewing & labeling camera trap data by The Nature Conservancy.
📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.
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
An Open-source Tool to Guide Decisions for Wildlife Conservation
Surface water mapping using Sentinel-1 and Google Earth Engine
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.
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
Monitor endangered wildlife and assess potential threats using autonomous drones
Documenting amphibian trade into the United States
Wildlife Health database documentation
MegaDetector Desktop: Simple Interface for Detection of Humans, Animals and Vehicles in Camera Trap Imagery
This repository displays IIT/UoW Web Design coursework, including an interactive gallery, SVG sitemap, wildlife blog, and a personal editor.
Spatially-Distributed Temporally-Synchronised Infrasonic Recorder
"Animal Behavior & Disease Detection: Utilize YOLO and MobileNetV2_img_classifier for real-time animal behavior tracking and disease identification. A valuable tool for wildlife researchers and conservationists. 🦁🔍🦠 #WildlifeAI #DeepLearning #Conservation"
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
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