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Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.
The FrogID dataset: Expert-validated occurrence records of Australia’s frogs collected by citizen scientists
Insect Foundation AI Model and Dataset for Precision Agriculture
automatic detection of vocalizing animals in acoustic datasets
Everything I know about machine learning and camera traps.
Lightweight Python library for adding real-time multi-object tracking to any detector.
TAXREF-LD: the French Linked Data Taxonomic Register
Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Python reference implementation of the GUANO bat acoustics metadata specification
An open-source package providing standardized tools for sound event analysis and data management.
Simple Python utility for parsing AudioMoth metadata
Python toolkit to implement bioacoustics classifier on embedded systems.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
A library for audio and music analysis, feature extraction.
A tool to work with any format for annotating animal sounds
A Toolbox for Animal Detection on Acoustic Recordings Integrating Discriminant Analysis - Labelling Interface
A Toolbox for Animal Detection on Acoustic Recordings Integrating Discriminant Analysis - Detection and Feature extraction part