bird-species-classification
There are 5 repositories under bird-species-classification topic.
johnmartinsson / bird-species-classification
Using convolutional neural networks to build and train a bird species classifier on bird song data with corresponding species labels.
Language:Python 120AKASH2907 / bird_species_classification
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]
Language:Python 68wimlds-trojmiasto / birds
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.
Language:Jupyter Notebook 44davipatti / birdbrain
Code for searching the www.xeno-canto.org bird sound database, and training a machine learning model to classify birds according to their sounds.
Language:Python 25aniket03 / self_supervised_bird_classification
Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)
Language:Python 20UCSD-E4E / PyHa
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.
Language:Jupyter Notebook 15mcguirepr89 / BirdNET-system
BirdNET as a systemd service with other features.
Language:Shell 11zahan97 / Bird-Species-Classification
Classifies a bird's species using a neural network in tensorflow..
Language:Jupyter Notebook 8birdsiitmandi / birds_image_classification
Fine-grained species classification
Language:Python 7kahst / BirdNET-Demo
Source code for BMBF InnoTruck demo of BirdNET.
Language:Python 7djl70 / cv-bird-id
Code used for my final project in Computer Vision at Texas State University, Spring 2019
Language:Python 5LaurentVeyssier / Bird_Classifier_Tensorflow_Colab_Notebook
Bird Classifier developped in tensorflow using pre-trained model from Tensorflow Hub and running on Google Colab
Language:Jupyter Notebook 5Moddy2024 / Bird-Classification
ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
Language:Jupyter Notebook 5nripstein / What-Bird-is-That
Computer vision website which recognizes and provides information about birds in user-uploaded photos.
Language:Jupyter Notebook 5liuvince / mva-bird-recognition
MVA - Kaggle Challenge - Bird Image Recognition
Language:Python 4NazarioR9 / Fowl-Escapades-Solution
Southern African Bird Call Audio Identification Challenge
Language:Jupyter Notebook 4openavian / Bird-Sound-Recognition-with-Deep-Learning
Signature Work @ DKU: Large Scale Bird Sound Recognition in China Region
Language:Python 4- Language:Python 3
dhuy228 / bird_recognition
Experiment testing the feasibility of individual bird recognition from audio recordings
Language:HTML 2HansSchouten / OpenNature
Free open information (CC0) about nature on planet earth.
Polish bird species recognition - Bird song analysis and classification. Women in Machine Learning & Data Science project.
Language:Jupyter Notebook 2avocardio / resnet_vs_convnext
New is not always better: a comparison of two image classification networks (ResNet-50 vs ConvNeXt).
Language:Jupyter Notebook 1Bobo100 / BirdSoundRecognize
Bird Sound Recognize
Language:Python 1jiejin0327 / 2021-VRDL-HW1-Bird-Images-Classification
This project is a bird classifier that uses the PyTorch framework and the ResNet50 model. It can recognize the species of birds in images based on their visual features. It supports 200 different categories of birds.
Language:Jupyter Notebook 1leilibrk / Image-Classification-Deep-Learning
Explore deep learning-powered image classification with PyTorch. Achieved 98% accuracy on Natural Images and 95% on Birds Species using AlexNet and EfficientNet-B1. Dive into the code and results!
Language:Jupyter Notebook 1Luckygyana / Bird-Species-Audio-Identification-Ensembling-and-1D-2D-Signals
There are about 10,000 different bird species in the world, and they play an important role in the natural world. They serve as good indicators of declining habitat quality and pollution. It is often easier to hear birds than it is to see them. Bird_CLEF 2021 - Birdcall Identification is a Kaggle competition organized by The Cornell Lab of Ornithology whose challenge is to identify which birds are calling in long recordings, given training data generated in meaningfully different contexts. This paper is structured in a way that it first gives details of the competition and the given data so that there is a clear understanding of the challenges posed by the train and test data. Also, we provide a detailed solution to the approaches we used for this challenge including data preparation, augmentations, model building, training procedure, and post-processing techniques.
AP-Y / birds-library
Applications to identify birds based on their appearance and taxonomy
Language:Python 0kamrul-brur / Bird-Classification-Inception-v3
Bird Species Classification using Inception-v3 Network
Language:Jupyter Notebook 0- Language:Elixir 0
love124356 / Bird-Classifier
Selected Topics in Visual Recognition using Deep Learning, NYCU. CodaLab competition - Bird images classification
Language:Python 0
