BirdNET analyzer for scientific audio data processing.

Soundscape analysis with BirdNET.

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

This is a Boids Simulation, written in Python with Pygame.

The 2018 LifeCLEF bird identification task baseline system.

A python api for BirdNET-Lite and BirdNET-Analyzer

Source code of the TUCMI submission to BirdCLEF2017

Birdy is a nicely designed wild bird feeder that takes photos, identifies and classifies birds. - based on Raspberry Pi, Azure IoT and Azure cognitive Service.

Identify plants, birds, and insects in photos. Should an identification to species be unsuccessful, an identification to a higher taxonomic level - like genus, family, or order - is made.

Python wrapper for the xeno-canto.org API to aid in downloading and managing recordings.

A bird feeder camera for Raspberry Pi

Code for searching the www.xeno-canto.org bird sound database, and training a machine learning model to classify birds according to their sounds.

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

An application to automatically recognize birds, specify the species, count and save pictures of them, only by use of one camera and a Raspberry Pi. The images and recorded values are made available online on https://opensensemap.org/.

Bird Identification Quiz + Webscraping

Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.

A Python library for identifying bird species by their sounds.

"The Pilotbird (Pycnoptilus floccosus) acts like nothing is wrong, but maybe she's just really good at lying."

Source code for BMBF InnoTruck demo of BirdNET.

Code for training and evaluating a detector for the USGS Izembek goose survey dataset