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fashion-classification

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ADITYASHAH-IITP / Fashion-Entity-Classification

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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 …

deep-neural-networks deep-learning convolutional-neural-networks fashion-mnist colab-notebook fashion-mnist-dataset fashion-classification
  • Updated Jan 4, 2022
  • Jupyter Notebook

Kamii114 / Fashion-Image-Classification-on-Maryland-Polyvore

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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.

computer-vision deep-learning tensorflow keras autoencoder image-classification convolutional-neural-networks transfer-learning vgg16 vgg19 data-augmentation fine-tuning fashion-classification cleaned-maryland maryland-polyvore
  • Updated Oct 6, 2024
  • Jupyter Notebook

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