language: | |
- en | |
license: apache-2.0 | |
dataset_info: | |
features: | |
- name: image | |
dtype: image | |
- name: category1 | |
dtype: string | |
- name: category2 | |
dtype: string | |
- name: category3 | |
dtype: string | |
- name: text | |
dtype: string | |
- name: item_ID | |
dtype: string | |
splits: | |
- name: data | |
num_bytes: 4235530431.72 | |
num_examples: 201624 | |
download_size: 3466991670 | |
dataset_size: 4235530431.72 | |
configs: | |
- config_name: default | |
data_files: | |
- split: data | |
path: data/data-* | |
**Disclaimer**: We do not own this dataset. Fashion200K dataset is a public dataset which can be accessed through its [Github page](https://github.com/xthan/fashion-200k?tab=readme-ov-file). | |
When using the datset, cite the original work. | |
``` | |
@inproceedings{han2017automatic, | |
title = {Automatic Spatially-aware Fashion Concept Discovery}, | |
author = {Han, Xintong and Wu, Zuxuan and Huang, Phoenix X. and Zhang, Xiao and Zhu, Menglong and Li, Yuan and Zhao, Yang and Davis, Larry S.}, | |
booktitle = {ICCV}, | |
year = {2017}, | |
} | |
``` |