A machine learning project for classifying butterfly images using TensorFlow and computer vision techniques.
Butterfly Classification Using Xception
Butterfly species classification with a CNN — feature maps, PCA and Class Activation Mapping (CAM) implemented from scratch to interpret what the network learns. (IPCV25 final project)
Comparative deep learning study on butterfly images using custom CNN classification, transfer learning, and autoencoder reconstruction.
A deep learning-based image classification project that automatically identifies and classifies different butterfly species from images. This project leverages Convolutional Neural Networks (CNNs) and computer vision techniques to extract visual features and accurately predict butterfly categories.
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