PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Everything I know about machine learning and camera traps.
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
This repo contains code+pre-trained models for extracting information from camera-trap images. The pre-trained models have been trained on the Snapshot Serengeti dataset.
Deep learning computer vision for classifying wildlife in camera trap images
Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.
AI-Powered Camera-Trap Image Processing
Save 99% of Your Time Classifying Camera-Trap Footage. Completely Free.
ecoSecrets is a web application which enables users to manage their camera traps data
Bounding Box Editor and Exporter
📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.
Distance Estimation for Estimating Animal Abundance
Automated Camera Trapping Identification and Organization Network (ACTION)
An online toolset to manage and analyze data collected from insect camera traps for research and conservation efforts.
Camtraptor is an R package to read, explore and visualize Camera Trap Data Packages (Camtrap DP)
Data Migration Code and Scripts for Wildlife Insights Data Providers
My personal pipeline to species identification on camera trap pix using deep learning, detection/classification with MegaDetector and RetinaNet
The Image Level Label to Bounding Box (IL2BB) pipeline automates the generation of labeled bounding boxes by leveraging an organization’s previous labeling efforts.
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