Datasets:
Tasks:
Object Detection
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
File size: 1,945 Bytes
4a706ce 002ced6 4a706ce 002ced6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
pretty_name: Fashionpedia_4_categories
task_categories:
- object-detection
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- fashionpedia
tags:
- object-detection
- fashion
- computer-vision
paperswithcode_id: fashionpedia
---
# Dataset Card for Fashionpedia_4_categories
This dataset is a variation of the fashionpedia dataset available [here](https://huggingface.co/datasets/detection-datasets/fashionpedia), 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](https://github.com/blinjrm/detection-datasets), [PyPI](https://pypi.org/project/detection-datasets/)), you can check here the full creation [notebook](https://blinjrm.github.io/detection-datasets/tutorials/2_Transform/).
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. |