📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.
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Updated
Jan 24, 2023 - Python
📷🦔 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)
[ICCV2019] Challenge - Computer Vision for Wildlife Conservation Solution
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.
MegaDetector Desktop: Simple Interface for Detection of Humans, Animals and Vehicles in Camera Trap Imagery
Monitor endangered wildlife and assess potential threats using autonomous drones
Python library for downloading Animal tracking data from Anitra and Movebank platforms.
Sample implementation of the Anitra data API client.
"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 repository contains scripts and resources to develop a GUI that helps biologist identify individual Archey's frogs (Leiopelma archeyi).
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."