Efficient point process inference for large scale object detection
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Updated
Apr 3, 2018 - MATLAB
Efficient point process inference for large scale object detection
Experiment testing the feasibility of individual bird recognition from audio recordings
MVA - Kaggle Challenge - Bird Image Recognition
This repository implements a simple YOLO algorithm for detection of birds and other aerial obstacles for drones to avoid collision during flight.
easybird: Python toolkit for Bird Activity Detection (BAD)
[ACCV 2022] AirBirds: A Large-scale Dataset for Bird Strike Prevention in Real-world Airports
XenoPy: Python wrapper for Xeno-canto API 2.0. Supports multiprocessing.
A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions
bird detection by yolov3
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.
[ACCV 2022] AirBirds: A Large-scale Dataset for Bird Strike Prevention in Real-world Airports
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