fashion_mnist
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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.
| Split |
Examples |
'test' |
10,000 |
'train' |
60,000 |
FeaturesDict({
'image': Image(shape=(28, 28, 1), dtype=uint8),
'label': ClassLabel(shape=(), dtype=int64, num_classes=10),
})
| Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
| image |
Image |
(28, 28, 1) |
uint8 |
|
| label |
ClassLabel |
|
int64 |
|
@article{DBLP:journals/corr/abs-1708-07747,
author = {Han Xiao and
Kashif Rasul and
Roland Vollgraf},
title = {Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
Algorithms},
journal = {CoRR},
volume = {abs/1708.07747},
year = {2017},
url = {http://arxiv.org/abs/1708.07747},
archivePrefix = {arXiv},
eprint = {1708.07747},
timestamp = {Mon, 13 Aug 2018 16:47:27 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1708-07747},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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Last updated 2024-06-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-01 UTC."],[],[],null,["# fashion_mnist\n\n\u003cbr /\u003e\n\n- **Description**:\n\nFashion-MNIST is a dataset of Zalando's article images consisting of a training\nset of 60,000 examples and a test set of 10,000 examples. Each example is a\n28x28 grayscale image, associated with a label from 10 classes.\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/fashion-mnist)\n\n- **Homepage** :\n \u003chttps://github.com/zalandoresearch/fashion-mnist\u003e\n\n- **Source code** :\n [`tfds.image_classification.FashionMNIST`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image_classification/mnist.py)\n\n- **Versions**:\n\n - **`3.0.1`** (default): No release notes.\n- **Download size** : `29.45 MiB`\n\n- **Dataset size** : `36.42 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 10,000 |\n| `'train'` | 60,000 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'image': Image(shape=(28, 28, 1), dtype=uint8),\n 'label': ClassLabel(shape=(), dtype=int64, num_classes=10),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|--------------|-------------|-------|-------------|\n| | FeaturesDict | | | |\n| image | Image | (28, 28, 1) | uint8 | |\n| label | ClassLabel | | int64 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('image', 'label')`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @article{DBLP:journals/corr/abs-1708-07747,\n author = {Han Xiao and\n Kashif Rasul and\n Roland Vollgraf},\n title = {Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning\n Algorithms},\n journal = {CoRR},\n volume = {abs/1708.07747},\n year = {2017},\n url = {http://arxiv.org/abs/1708.07747},\n archivePrefix = {arXiv},\n eprint = {1708.07747},\n timestamp = {Mon, 13 Aug 2018 16:47:27 +0200},\n biburl = {https://dblp.org/rec/bib/journals/corr/abs-1708-07747},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n }"]]
