wildlife-conservation

Official codebase for MammAlps

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.

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

AI-powered real-time intelligence platform that monitors, analyzes & maps wildlife poaching incidents across India. Built with WTI. FastAPI + React + multilingual NLP.

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

An Open-source Tool to Guide Decisions for Wildlife Conservation

Surface water mapping using Sentinel-1 and Google Earth Engine

[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"

WildDetect is a powerful wildlife detection and census system for aerial imagery. It helps conservationists, researchers, and organizations analyze wildlife populations, generate geographic visualizations, and produce actionable reports—all with easy-to-use command-line tools.

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.

Wildlife Health database documentation

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

Fully offline environmental-intelligence platform for biodiversity monitoring, marine protected area support, and longitudinal pattern discovery. Raspberry Pi 5 + Hailo edge-AI field stations run continuous, event-triggered detections across marine, freshwater, and terrestrial sites.

Monitor endangered wildlife and assess potential threats using autonomous drones

Spatially-Distributed Temporally-Synchronised Infrasonic Recorder

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