|
--- |
|
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-* |
|
license: apache-2.0 |
|
--- |
|
**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}, |
|
} |
|
``` |
