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detection-datasets/fashionpedia_4_categories

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… See the full description on the dataset page: https://huggingface.co/datasets/detection-datasets/fashionpedia_4_categories.

sourceHugging Facecc-by-4.0updated 4y agoView on Hugging Face

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Dataset Card

Dataset Card for Fashionpedia4categories

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:

Python

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.