This extends the previous Fashion144k dataset to have a much larger number of images, and uses the automatic curating approach proposed in our StyleNet paper to improve the quality of the images. To evaluate learning with noisy labels, we provide a selected subset of 66 noisy tags for all the images, and additionally provide a subset of manually curated tags for both training and evaluation.

For a related datasets, please see Fashion144k, Fashion144k (Stylenet), and Fashion550k.


If you use this dataset, please cite

   author    = {Naoto Inoue and Edgar Simo-Serra and Toshihiko Yamasaki and Hiroshi Ishikawa},
   title     = {{Multi-Label Fashion Image Classification with Minimal Human Supervision}},
   booktitle = "Proceedings of the International Conference on Computer Vision Workshops (ICCVW)",
   year      = 2017,