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Datasets:
detection-datasets
/
fashionpedia_4_categories

Tasks:
Object Detection
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
object-detection
fashion
computer-vision
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
Dataset Viewer
Auto-converted to Parquet
Full Screen
Search is not available for this dataset
image_id
int64
23
50.5k
image
imagewidth (px)
232
1.02k
width
int64
232
1.02k
height
int64
388
1.02k
objects
sequence
23
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End of preview. Expand in Dataset Viewer.

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.

Downloads last month
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Size of downloaded dataset files:
3.47 GB
Size of the auto-converted Parquet files:
3.47 GB
Number of rows:
46,780

Models trained or fine-tuned on detection-datasets/fashionpedia_4_categories