bird-species-classification

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johnmartinsson /bird-species-classification

Star124

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

master-thesis convolutional-neural-networks deep-residual-network bird-species-classification bird-audio-detection bird-song-data bird-clef

UpdatedDec 10, 2024
Python

AKASH2907 /bird_species_classification

Star77

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]

keras cnn image-classification ensemble-learning inceptionv3 data-augmentation mask-rcnn bird-species-classification inception-resnet-v2 multi-stage-training imagenet-models rcnn-crops

UpdatedAug 24, 2020
Python

wimlds-trojmiasto /birds

Star49

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.

deep-learning birds audio-analysis classification birdsong convolutional-neural-networks melspectrogram bird-species-classification

UpdatedDec 11, 2019
Jupyter Notebook

davipatti /birdbrain

Star27

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

python machine-learning tensorflow birds birdsong bird-species-classification

UpdatedMar 17, 2019
Python

aniket03 /self_supervised_bird_classification

Star21

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

pytorch fine-grained-classification bird-species-classification cub200 self-supervised-learning jigsaw-puzzles-task training-jigsaw-solver

UpdatedFeb 8, 2020
Python

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. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!

audio python training template-matching machine-learning natural-language-processing automation deep-learning neural-network python3 sound-processing birdsong object-detection sed foreground-detection bird-species-classification bioacoustics bird-audio-clips moment-labels human-labels

UpdatedJan 13, 2025
Jupyter Notebook

Moddy2024 /Bird-Classification

Star13

ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.

classification image-classification convolutional-neural-networks bird-species bird-species-classification resnet-34 skip-connections sagemaker-pytorch bird-classification

UpdatedMar 3, 2023
Jupyter Notebook

mcguirepr89 /BirdNET-system

Sponsor

Star12

BirdNET as a systemd service with other features.

birds bird-species-classification species-identification raspberry-pi-4 birdnet bird-species-classifier

UpdatedDec 29, 2021
Shell

birdsiitmandi /birds_image_classification

Star10

Fine-grained species classification

keras pytorch image-classification image-segmentation fine-grained-classification bird-species-classification

UpdatedJul 23, 2020
Python

gopiashokan /Bird-Sound-Classification-using-Deep-Learning

Star10

Engineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 93.4%, providing valuable insights for conservationists and ecologists in the wildlife & ecological research sectors.