> ML_DATASET // FASHION-MNIST_v1.0
Fashion-MNIST (Xiao, Rasul & Vollgraf 2017)
Zalando Research · E-commerce & Computer Vision · 70,000 28x28 grayscale images across 10 clothing categories
E-commerce & Computer VisionMIT70,000 28x28 grayscale images across 10 clothing categoriesopen
Dataset Profile & Characteristics
Label Type:10 fashion articles (T-shirt, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, Ankle boot)
Languages:en
License Tier:permissive-open-source
Modalities:image
Intended Use
- Benchmarking machine learning classifiers on more challenging 28x28 images than MNIST
Prohibited / Discouraged Use
- Real-world e-commerce visual search
Bias, Leakage & Privacy Risk Analysis
Privacy / Sensitive Data Risks:
Zalando catalog e-commerce product thumbnail silhouettes; zero personal data.
Known Bias:
Single product on plain background; 28x28 grayscale resolution.
Known Benchmark Leakage:
Direct drop-in replacement for MNIST with matching split sizes.