https://github.com/geekquad/classifying-fashion-clothes
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, gray-scale image, associated with a label from 10 classes.
https://github.com/geekquad/classifying-fashion-clothes
fashion-mnist gray-scale-image image-classification python3 pytorch zalando-article-images
Last synced: 8 months ago
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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, gray-scale image, associated with a label from 10 classes.
- Host: GitHub
- URL: https://github.com/geekquad/classifying-fashion-clothes
- Owner: geekquad
- Created: 2020-05-10T14:03:32.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-12T21:24:37.000Z (over 5 years ago)
- Last Synced: 2025-01-07T05:16:49.611Z (9 months ago)
- Topics: fashion-mnist, gray-scale-image, image-classification, python3, pytorch, zalando-article-images
- Language: Jupyter Notebook
- Size: 467 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Classifying-Fashion MNIST dataset
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, gray-scale image, associated with a label from 10 classes.