Dataset Card for FashionMNIST Table of Contents Dataset Description Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset Description Homepage: GitHub Repository: GitHub Paper: arXiv Leaderboard: Point of Contact: Dataset Summary 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. We intend Fashion MNIST to serve as a direct drop in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits. Supported Tasks and Leaderboards image classification : The goal of this task is to classify a given image of Zalando's article into one of 10 classes. The leaderboar…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy