Clothing1M

Introduced by Xiao et al. in Learning From Massive Noisy Labeled Data for Image Classification

Clothing1M contains 1M clothing images in 14 classes. It is a dataset with noisy labels, since the data is collected from several online shopping websites and include many mislabelled samples. This dataset also contains 50k, 14k, and 10k images with clean labels for training, validation, and testing, respectively.

Source: Label-Noise Robust Generative Adversarial Networks

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Benchmarks

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Task	Dataset Variant	Best Model
Image Classification	Clothing1M	LRA-diffusion
Image Classification	Clothing1M (using clean data)	CurriculumNet
Learning with noisy labels	Clothing1M	Knockoffs-SPR
Learning with noisy labels	Clothing1M (using clean data)	ResNet50