Dataset Card for Fashionpedia_4_categories

This dataset is a variation of the fashionpedia dataset available here , with 2 key differences:

• It contains only 4 categories:
  • Clothing
  • Shoes
  • Bags
  • Accessories
• New splits were created:
  • Train: 90% of the images
  • Val: 5%
  • Test 5%

The goal is to make the detection task easier with 4 categories instead of 46 for the full fashionpedia dataset.

This dataset was created using the detection_datasets library ( GitHub , PyPI ), you can check here the full creation notebook .

In a nutshell, the following mapping was applied:

mapping = {
    'shirt, blouse': 'clothing',
    'top, t-shirt, sweatshirt': 'clothing',
    'sweater': 'clothing',
    'cardigan': 'clothing',
    'jacket': 'clothing',
    'vest': 'clothing',
    'pants': 'clothing',
    'shorts': 'clothing',
    'skirt': 'clothing',
    'coat': 'clothing',
    'dress': 'clothing',
    'jumpsuit': 'clothing',
    'cape': 'clothing',
    'glasses': 'accessories',
    'hat': 'accessories',
    'headband, head covering, hair accessory': 'accessories',
    'tie': 'accessories',
    'glove': 'accessories',
    'belt': 'accessories',
    'tights, stockings': 'accessories',
    'sock': 'accessories',
    'shoe': 'shoes',
    'bag, wallet': 'bags',
    'scarf': 'accessories',
}

As a result, annotations with no category equivalent in the mapping have been dropped.