OH!SHOWN 野生動物出沒痕跡通報系統

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

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)

📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.

An Open-source Tool to Guide Decisions for Wildlife Conservation

Project Sentinel tackles the global shark population decline using predictive AI, NASA satellite data, and a smart tag to forecast feeding hotspots in real-time. It creates dynamic marine sanctuaries and an engaging public portal with quizzes and stories to turn fear into fascination and conservation.

Official codebase for MammAlps

🐾🌳 Wildlife conservation is essential for preserving endangered species and their habitats, ensuring a stable environment for future wildlife generations.

AI-powered environmental monitoring system for marine and terrestrial ecosystems using computer vision, real-time analysis, and FAIR data principles.

[ICCV2019] Challenge - Computer Vision for Wildlife Conservation Solution

"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"

This is repository containing a full pipeline (from annotation to training) for building an orangutans detector.

Instagram scraping algorithm for collecting json and images to identify wildlife trade of Slow Loris

MegaDetector Desktop: Simple Interface for Detection of Humans, Animals and Vehicles in Camera Trap Imagery

EarthToolsMaker website

A wildlife monitoring system using EfficientNet-B3 and XAI (GradCAM) for species classification, detailed HTML/PDF reports, safety protocols, markdown insights, and CrewAI integration for advanced analysis.

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.

Everybody needs good neighbours: movement, habitat use, and conspecific association in a reintroduced mesopredator