A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions

Source code of the TUCMI submission to BirdCLEF2017

XenoPy: Python wrapper for Xeno-canto API 2.0. Supports multiprocessing.

ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.

Classifies a bird's species using a neural network in tensorflow..

A better tracking of endangered bird species using machine learning and crowdsourcing.

yolov5 models for bird detection

To set up the raspberry pi and cloud environment please visit the Nick branch; to set up the website please use the main branch.

Free open information (CC0) about nature on planet earth

Object detection dataset based on images from Macaulay Library for 29 bird species in the Pittsburgh area. The 29 species are a subset of the 400 species in the NABirds dataset. For each species, the dataset contains about 1000 labeled images.

A model inspired by inception v1 for classification of bird species

Galeria online de fotos de aves, com design inspirado em cartões. Explore e aprecie a beleza das aves de forma intuitiva e organizada.