---
license: mit
dataset_info:
  features:
  - name: image
    dtype: image
  - name: objects
    sequence:
    - name: bbox_id
      dtype: int32
    - name: category
      dtype:
        class_label:
          names:
            '0': shirt, blouse
            '1': top, t-shirt, sweatshirt
            '2': sweater
            '3': cardigan
            '4': jacket
            '5': vest
            '6': pants
            '7': shorts
            '8': skirt
            '9': coat
            '10': dress
            '11': jumpsuit
            '12': cape
            '13': glasses
            '14': hat
            '15': headband, head covering, hair accessory
            '16': tie
            '17': glove
            '18': watch
            '19': belt
            '20': leg warmer
            '21': tights, stockings
            '22': sock
            '23': shoe
            '24': bag, wallet
            '25': scarf
            '26': umbrella
            '27': hood
            '28': collar
            '29': lapel
            '30': epaulette
            '31': sleeve
            '32': pocket
            '33': neckline
            '34': buckle
            '35': zipper
            '36': applique
            '37': bead
            '38': bow
            '39': flower
            '40': fringe
            '41': ribbon
            '42': rivet
            '43': ruffle
            '44': sequin
            '45': tassel
            '46': earring
            '47': ring
            '48': bracelet
            '49': necklace
            '50': swimsuit
            '51': underwear
            '52': backpack
    - name: bbox
      sequence: int32
      length: 4
    - name: area
      dtype: int32
    - name: genre
      dtype: string
  - name: width
    dtype: int64
  - name: height
    dtype: int64
  splits:
  - name: train
    num_bytes: 566512000.628
    num_examples: 3332
  download_size: 566302792
  dataset_size: 566512000.628
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for Clothing Detection Dataset

This dataset is a Clothing Detection Dataset created [here](https://github.com/seralexger/clothing-detection-dataset). However, it has English labels that correspond to the [Fashionpedia](https://huggingface.co/datasets/detection-datasets/fashionpedia). It was created to serve as an extension of the number of classes.

Supported Tasks: 
* Object detection
* Image classification

## Languages
All of the annotations were translated and adjusted from Spanish to English (and match the Fashionpedia dataset annotations).

### Dataset Sources


- **Repository:** https://github.com/seralexger/clothing-detection-dataset


## Dataset Structure

```
DatasetDict({
    train: Dataset({
        features: ['image', 'objects', 'width', 'height'],
        num_rows: 3332
    })
})
```

## Dataset Instances
An example of the data for one image is:

```
{'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1080x1080 at 0x13E257700>, 'objects': {'bbox_id': [0, 1], 'category': [0, 4], 'bbox': [[552, 408, 623, 525], [496, 375, 691, 553]], 'area': [8307, 34710], 'genre': ['man', 'man']}, 'width': 1080, 'height': 1080}
```

with the type of each field defined as:

```
{'image': Image(decode=True, id=None), 'objects': Sequence(feature={'bbox_id': Value(dtype='int32', id=None), 'category': ClassLabel(names=['shirt, blouse', 'top, t-shirt, sweatshirt', 'sweater', 'cardigan', 'jacket', 'vest', 'pants', 'shorts', 'skirt', 'coat', 'dress', 'jumpsuit', 'cape', 'glasses', 'hat', 'headband, head covering, hair accessory', 'tie', 'glove', 'watch', 'belt', 'leg warmer', 'tights, stockings', 'sock', 'shoe', 'bag, wallet', 'scarf', 'umbrella', 'hood', 'collar', 'lapel', 'epaulette', 'sleeve', 'pocket', 'neckline', 'buckle', 'zipper', 'applique', 'bead', 'bow', 'flower', 'fringe', 'ribbon', 'rivet', 'ruffle', 'sequin', 'tassel', 'earring', 'ring', 'bracelet', 'necklace', 'swimsuit', 'underwear', 'backpack'], id=None), 'bbox': Sequence(feature=Value(dtype='int32', id=None), length=4, id=None), 'area': Value(dtype='int32', id=None), 'genre': Value(dtype='string', id=None)}, length=-1, id=None), 'width': Value(dtype='int64', id=None), 'height': Value(dtype='int64', id=None)}
```

## Categories
The first 46 categories correspond to the original categories from the Fashionpedia.
## Translation
The original annotations were changed according to the following dictionary:
```
{
    "camisas": "shirt, blouse",
    "camisas ocultas debajo de la chaqueta": "shirt, blouse",
    "chaquetas": "jacket",
    "cazadoras": "jacket",
    "pantalones": "pants",
    "pantalones cortos": "shorts",
    "falda": "skirt",
    "abrigos": "coat",
    "vestidos": "dress",
    "monos": "jumpsuit",
    "gafas de sol": "glasses",
    "sombreros": "hat",
    "corbatas": "tie",
    "guantes y manopla": "glove",
    "relojes": "watch",
    "cinturones": "belt",
    "calcetines y medias": "tights, stockings",
    "zapatos": "shoe",
    "bolso": "bag, wallet",
    "carteras monederos": "bag, wallet",
    "bufandas": "scarf",
    "pendientes": "earring",
    "anillos": "ring",
    "pulseras": "bracelet",
    "collares": "necklace",
    "trajes de baño": "swimsuit",
    "ropa interior": "underwear",
    "mochilas": "backpack",
    "botas": "shoe"
}
```