Topic: bird-species-classification Goto Github
Some thing interesting about bird-species-classification
Some thing interesting about bird-species-classification
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]
User: akash2907
Home Page: https://medium.com/@akash29/bird-species-classification-in-high-resolution-images-28a5885f94f2
bird-species-classification,Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)
User: aniket03
bird-species-classification,Applications to identify birds based on their appearance and taxonomy
User: ap-y
bird-species-classification,New is not always better: a comparison of two image classification networks (ResNet-50 vs ConvNeXt).
User: avocardio
bird-species-classification,Fine-grained species classification
Organization: birdsiitmandi
bird-species-classification,Bird Sound Recognize
User: bobo100
bird-species-classification,Code for searching the www.xeno-canto.org bird sound database, and training a machine learning model to classify birds according to their sounds.
User: davipatti
bird-species-classification,Code used for my final project in Computer Vision at Texas State University, Spring 2019
User: djl70
bird-species-classification,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.
User: gopiashokan
bird-species-classification,Free open information (CC0) about nature on planet earth
User: hansschouten
bird-species-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.
User: jiejin0327
bird-species-classification,Using convolutional neural networks to build and train a bird species classifier on bird song data with corresponding species labels.
User: johnmartinsson
bird-species-classification,Source code for BMBF InnoTruck demo of BirdNET.
User: kahst
bird-species-classification,Bird Species Classification using Inception-v3 Network
User: kamrulhasanrony
bird-species-classification,Determine the :bird: from its :musical_note:
User: kbrose
bird-species-classification,
User: khustochka
bird-species-classification,Bird Classifier developped in tensorflow using pre-trained model from Tensorflow Hub and running on Google Colab
User: laurentveyssier
bird-species-classification,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!
User: leilibrk
bird-species-classification,MVA - Kaggle Challenge - Bird Image Recognition
User: liuvince
bird-species-classification,Selected Topics in Visual Recognition using Deep Learning, NYCU. CodaLab competition - Bird images classification
User: love124356
bird-species-classification,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.
User: luckygyana
bird-species-classification,ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
User: moddy2024
bird-species-classification,Southern African Bird Call Audio Identification Challenge
User: nazarior9
bird-species-classification,This project aims to detect bird species using a Convolutional Neural Network (CNN). The model was trained on six categories, including five bird species and one category for 'no bird detected'. The project includes resources for training the model and using it for detection and species recognition.
User: nikhilk-84
bird-species-classification,Computer vision website which recognizes and provides information about birds in user-uploaded photos.
User: nripstein
Home Page: https://what-bird-is-that.streamlit.app/
bird-species-classification,Signature Work @ DKU: Large Scale Bird Sound Recognition in China Region
Organization: openavian
bird-species-classification,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!
Organization: ucsd-e4e
bird-species-classification,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.
Organization: wimlds-trojmiasto
Home Page: https://wimlds.voicelab.ai
bird-species-classification,Polish bird species recognition - Bird song analysis and classification. Women in Machine Learning & Data Science project.
Organization: wimlds-trojmiasto
bird-species-classification,Classifies a bird's species using a neural network in tensorflow..
User: zahan97
bird-species-classification,bird_classification web application
User: zulfiqaralibalti
Home Page: https://github.com/zulfiqarAlibalti/bird_classification
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