PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images

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.

AI-Powered Camera-Trap Image Processing

An online toolset to manage and analyze data collected from insect camera traps for research and conservation efforts.

Distance Estimation for Estimating Animal Abundance

Bounding Box Editor and Exporter

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

Automated Camera Trapping Identification and Organization Network (ACTION)

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.

Motion-based video compression and analysis software designed for wildlife monitoring and camera trap applications

Code and supplementary material for "SOCRATES: Introducing Depth in Visual Wildlife Monitoring using Stereo Vision" (WIP)

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

COCO-CameraTrap Indexer. An extension to pycocotools including location and sequence indexing.

Classifier for vehicles cropped from camera trap images

Python Library for Camtrap Data Packages

Data Carpentry for Camera Traps

Classifier for horses cropped from camera trap images

Camera trap with the possibility to send a photo by email using AIY Google Vision Pack.