bird-species-classification

Using convolutional neural networks to build and train a bird species classifier on bird song data with corresponding species labels.

Supervised Classification of bird species 🐦 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.

Code for searching the www.xeno-canto.org bird sound database, and training a machine learning model to classify birds according to their sounds.

Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)

A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Current proof of concept work being fulfilled on Bird Audio clips using Microfaune predictions.

BirdNET as a systemd service with other features.

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

Source code for BMBF InnoTruck demo of BirdNET.

Fine-grained species classification

Bird Classifier developped in tensorflow using pre-trained model from Tensorflow Hub and running on Google Colab

Code used for my final project in Computer Vision at Texas State University, Spring 2019

Southern African Bird Call Audio Identification Challenge

Experiment testing the feasibility of individual bird recognition from audio recordings

Determine the 🐦 from its 🎵

Polish bird species recognition - Bird song analysis and classification. Women in Machine Learning & Data Science project.

Signature Work @ DKU: Large Scale Bird Sound Recognition in China Region

Applications to identify birds based on their appearance and taxonomy

Credal Dataset of bird species

MVA - Kaggle Challenge - Bird Image Recognition