Datasets:
Tasks:
Object Detection
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Source Datasets:
fashionpedia
License:
| 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. |