SLIIT 4th Year 2nd Semester Machine Learning Project
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine …
This repository showcases a comprehensive approach to fashion image classification using the Maryland Fashion Dataset. It includes four scenarios: building a CNN from scratch, leveraging transfer learning with VGG16, fine-tuning the VGG19 model, and implementing an autoencoder for image representation. Each scenario demonstrates various techniques.
MN 44B3 IST Fashion Classification using TensorFlow (2019 version). The dataset is taken from Kaggle (https://www.kaggle.com/zalando-research/fashionmnist).
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