Bird Species Classification using Inception-v3 Network
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Updated
May 23, 2023 - Jupyter Notebook
Bird Species Classification using Inception-v3 Network
Applications to identify birds based on their appearance and taxonomy
Selected Topics in Visual Recognition using Deep Learning, NYCU. CodaLab competition - Bird images classification
New is not always better: a comparison of two image classification networks (ResNet-50 vs ConvNeXt).
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!
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…
bird_classification web application
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.
Constructed an advanced deep learning model utilizing TensorFlow and CNN to precisely classify bird species from audio inputs. Leveraging Librosa for audio processing, the model is trained on extensive bird sound datasets to ensure robust performance. Integrated with Hugging Face, our application facilitates seamless uploading of bird sound samples
Experiment testing the feasibility of individual bird recognition from audio recordings
Bird Sound Recognize
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 🎵
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
Bird Classifier developped in tensorflow using pre-trained model from Tensorflow Hub and running on Google Colab
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