Popular GitHub Repositories for Birds

[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.

Talk2BEV: Language-Enhanced Bird's Eye View Maps (ICRA'24)

Sound-based Bird Classification - using AI, acoustics and ornithology to classify birds in the environment, an environmental awareness project (Web Application, Flask, Python)

Supervised Classification of bird species :bird: in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]

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.

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.

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Code for GCPR 2020 Oral : "Unsupervised Part Discovery by Unsupervised Disentanglement"

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/.

Flutter App capable of classifying 400 different species of birds using MobileNetV2. Upload an image from Google Drive or your phone gallery to accurately predict the species of the bird.

Transforming multiple vehicle-mounted camera images into a bird’s-eye view (BEV), this project employs deep learning, including a U-Net backbone for semantic segmentation and a spatial transformer module.

The idea of this project is to write a deep reinforcement learning (DRL) agent to play Angry Birds. The idea originated from the Angry Birds AI Competition.

My beautiful Neural Network made from scratch and love. It plays the game Flappy-Birds flawlessly, in 3 to 9 generations!!

Spiideo SoccerNet SynLoc - Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data

This repository contains a simulation of boids, demonstrating flocking behavior. The simulation models the collective movement of agents (boids) to mimic the natural behavior of birds flocking, fish schooling, or herding animals. This project showcases principles of swarm intelligence and artificial life.

This repostiory illustrates three approches of using TensorFlow Lite models with metadata on Android platforms.

Model training for birds classification and deployment on hugging face gradio app

This Android app is designed to help users identify birds they see in the wild. It uses machine learning to identify birds based on live audio recordings, as well as step-by-step questions to identify birds based on their characteristics.