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README.md

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-license: mit
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+{}
+---
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+# Dataset Card for Fashion-MNIST
+
+<!-- Provide a quick summary of the dataset. -->
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+Fashion-MNIST is a dataset of 70,000 grayscale images, each 28×28 pixels, representing 10 different classes of clothing and accessories. It serves as a drop-in replacement for the original MNIST dataset but provides a more challenging benchmark for machine learning models. The dataset was introduced by Zalando Research to address the limitations of MNIST, which primarily contains handwritten digits.
+
+### Dataset Sources
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Homepage:** https://github.com/zalandoresearch/fashion-mnist?tab=readme-ov-file#license
+- **Paper:** Xiao, H., Rasul, K., & Vollgraf, R. (2017). Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747.
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+Total images: 70,000
+
+Classes: 10 (T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, Ankle boot)
+
+Splits:
+
+- **Train:** 60,000 images
+
+- **Test:** 10,000 images
+
+Image specs: PNG format, 28×28 pixels, Grayscale
+
+## Example Usage
+Below is a quick example of how to load this dataset via the Hugging Face Datasets library.
+```
+from datasets import load_dataset  
+
+# Load the dataset  
+dataset = load_dataset("fashion-mnist", split="train", trust_remote_code=True)  
+# dataset = load_dataset("fashion-mnist", split="test", trust_remote_code=True)  
+
+# Access a sample from the dataset  
+example = dataset[0]  
+image = example["image"]  
+label = example["label"]  
+
+image.show()  # Display the image  
+print(f"Label: {label}")
+```
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+@online{xiao2017/online,
+  author       = {Han Xiao and Kashif Rasul and Roland Vollgraf},
+  title        = {Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms},
+  date         = {2017-08-28},
+  year         = {2017},
+  eprintclass  = {cs.LG},
+  eprinttype   = {arXiv},
+  eprint       = {cs.LG/1708.07747},
+}