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

This repository implements a simple YOLO algorithm for detection of birds and other aerial obstacles for drones to avoid collision during flight.

bird detection by yolov3

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

[ACCV 2022] AirBirds: A Large-scale Dataset for Bird Strike Prevention in Real-world Airports

easybird: Python toolkit for Bird Activity Detection (BAD)

Tracking birds in feeder.

Efficient point process inference for large scale object detection

MVA - Kaggle Challenge - Bird Image Recognition

Experiment testing the feasibility of individual bird recognition from audio recordings

[ACCV 2022] AirBirds: A Large-scale Dataset for Bird Strike Prevention in Real-world Airports

Bird Detection using OpenCV

This project aims to detect bird species using a Convolutional Neural Network (CNN). The model was trained on six categories, including five bird species and one category for 'no bird detected'. The project includes resources for training the model and using it for detection and species recognition.