Applications to identify birds based on their appearance and taxonomy
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Updated
Sep 12, 2022 - Python
Applications to identify birds based on their appearance and taxonomy
Bird Species Classification using Inception-v3 Network
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.
Galeria online de fotos de aves, com design inspirado em cartões. Explore e aprecie a beleza das aves de forma intuitiva e organizada.
Selected Topics in Visual Recognition using Deep Learning, NYCU. CodaLab competition - Bird images 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 Ornit…
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.
bird_classification web application
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!
Experiment testing the feasibility of individual bird recognition from audio recordings
Polish bird species recognition - Bird song analysis and classification. Women in Machine Learning & Data Science project.
Free open information (CC0) about nature on planet earth
Determine the 🐦 from its 🎵
New is not always better: a comparison of two image classification networks (ResNet-50 vs ConvNeXt).
Bird Sound Recognize
Southern African Bird Call Audio Identification Challenge
MVA - Kaggle Challenge - Bird Image Recognition
Signature Work @ DKU: Large Scale Bird Sound Recognition in China Region
Code used for my final project in Computer Vision at Texas State University, Spring 2019
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