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AI powered audio analyser for bird call visualisation, detection and cataloguing
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.
BirdNET analyzer for scientific audio data processing.
Visualisation and quantification of soundscapes using SSE software
This repository gathers the list of online publicly available bioacoustics datasets that can be used together with deep learning.
ecomontec / ecoSound-web
Forked from nperezg/biosoundsWeb application for ecoacoustics to manage, navigate, visualise, annotate, and analyse soundscape recordings.
Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.
Everything I know about machine learning and camera traps.
Open source, scalable software for the analysis of bioacoustic recordings
A python library for soundscape assessments
ecoSecrets is a web application which enables users to manage their camera traps data
Pre-trained models for bioacoustic classification tasks
This is an R package that enables environmental sensor users to create comprehensive work flows for managing and analyzing data
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
automatic detection of vocalizing animals in acoustic datasets
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Python library for downloading, loading & working with sound datasets
A tool to work with any format for annotating animal sounds
DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research
A benchmark dataset collection for bird sound classification
An open-source package providing standardized tools for sound event analysis and data management.