---
license: odc-by
task_categories:
- image-classification
- image-to-text
- text-to-image
language:
- en
- fr
- zh
- ja
- ko
size_categories:
- 100K<n<1M
tags:
- fashion
- clothing
dataset_info:
  features:
  - name: 1.jpg
    dtype: image
  - name: 2.jpg
    dtype: image
  - name: 3.jpg
    dtype: image
  - name: 4.jpg
    dtype: image
  - name: json
    struct:
    - name: categories
      sequence:
        dtype: string
        length: -1
    - name: designer
      struct:
      - name: en
        dtype: string
      - name: fr
        dtype: string
      - name: ja
        dtype: string
      - name: ko
        dtype: string
      - name: zh
        dtype: string
    - name: gender
      dtype: string
    - name: id
      dtype: string
    - name: name
      struct:
      - name: en
        dtype: string
      - name: fr
        dtype: string
      - name: ja
        dtype: string
      - name: ko
        dtype: string
      - name: zh
        dtype: string
    - name: price
      dtype: string
    - name: url
      dtype: string
---
# Fashion-150k

Product images + metadata

Stats:
- 151,748 products
- 587,824 images
- 1,186 designers

Formats:
- WebDataset
    - 1k per shard, ~0.4GB
    - `N.jpg` + `json`
    - `__key__` is `id` from `json`

## Fields
- `gender`: `men`/`women`
- `name`: includes translations for `en`, `fr`, `zh`, `ja` and `ko`
- `categories`: main category and sub-categories e.g. `['CLOTHING', 'TOPS', 'T-SHIRTS']`, `['BAGS', 'TOTE BAGS']`
- `designer`: includes translations for `en`, `fr`, `zh`, `ja` and `ko`
- `price`: in USD

## another BIG data banger straight from the underground

## with thanks to the retailer and all designers ❤️