There are 1 repository under birds topic.
A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET.
BirdNET analyzer for scientific audio data processing.
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
Realtime BirdNET soundscape analyzer
#NVJOB Simple Boids (Flocks of Birds, Fish and Insects). Flocking Simulation. Free Unity Asset.
:bird: *cheep cheep shriek caw*
The 2018 LifeCLEF bird identification task baseline system.
Polish bird species recognition - Bird song analysis and classification with MFCC and CNNs. Trained on EfficientNets with final score 0.88 AUC. Women in Machine Learning & Data Science project.
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.
A python api for BirdNET-Lite and BirdNET-Analyzer
Code for GCPR 2020 Oral : "Unsupervised Part Discovery by Unsupervised Disentanglement"
Python wrapper for the xeno-canto.org API to aid in downloading and managing recordings.
An R package for downloading and handling data and information from the North American Breeding Bird Survey.
Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.
An interactive 2D bird flocking simulation using a spatial subdivision method to optimize performance for thousands of agents.
Simple flappy bird clone for PS Vita
🛰🐦 Bird tracking - GPS tracking network for large birds
Simple android app that shows nice animals pictures
Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.
An introduction to AI methods for flying agents (birds, UAVs, etc.)
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/.
The game features a 2 level, 3 birds for the user to throw, 3 birds that the user has to destroy, parallax backgrounds, a maximum strength for the bird (we cannot drag the bird more than a predefined distance), The user’s ability to drag the screen to see the entire scene, pinch to zoom ability (for multi touch devices) and a small trail that is left by the bird when it’s thrown. Sound is Included .