Projects in Awesome Lists by conservationtechlab
A curated list of projects in awesome lists by conservationtechlab .
https://github.com/conservationtechlab/animl-r
Animl comprises a variety of machine learning tools for analyzing ecological data. The package includes a set of functions to classify subjects within camera trap field data and can handle both images and videos.
deep-learning machine-learning
Last synced: 04 Feb 2026
https://github.com/conservationtechlab/animl-py
Animl comprises a variety of machine learning tools for analyzing ecological data. This Python package includes a set of functions to classify subjects within camera trap field data and can handle both images and videos.
Last synced: 14 Jan 2026
https://github.com/conservationtechlab/scrubcam
Code for Edge-AI-enabled field wildlife camera
Last synced: 17 Jan 2026
https://github.com/conservationtechlab/dencam
Polar bear maternal den observation system.
Last synced: 10 Mar 2026
https://github.com/conservationtechlab/tinyscrubcam
Edge-AI and device for wildlife detection and alerts.
Last synced: 17 Jan 2026
https://github.com/conservationtechlab/scrubdash
Dashboard for organizing, visualizing, and analyzing images received from ScrubCams
Last synced: 17 Jan 2026
https://github.com/conservationtechlab/otolith
Code for animal-borne devices and bench post-processing associated with logging and analysing inertial measurements, including for activity recognition.
Last synced: 17 Jan 2026
https://github.com/conservationtechlab/sageranger
A package to aide in the utilization of Earthranger as a way to capture and display data of interest from camera traps and other data loggers.
Last synced: 17 Jan 2026
https://github.com/conservationtechlab/dencam_hardware
The mechanical, electrical, and electronic design of DenCam devices, presently including MiniDenCam OG and Cyclops
Last synced: 17 Jan 2026
https://github.com/conservationtechlab/heatseek
Thermal imagery detetion and tracking
Last synced: 17 Jan 2026
https://github.com/conservationtechlab/sagemic
Real-time detection and classification of bioacoustic events on field devices built around microphone-enabled single-board computers, with capabilities to do inference on-device and via streaming data to a remote server.
Last synced: 24 Jun 2026