image
imagewidth (px) 228
228
| approval(1-10)
int64 1
10
| category
stringclasses 62
values |
|---|---|---|
6
|
Cargo Pants
|
|
9
|
Sweatshirt
|
|
9
|
Sweatshirt
|
|
9
|
Sweatshirt
|
|
6
|
Tube Top
|
|
6
|
Sweatpants
|
|
8
|
Sweater
|
|
8
|
Sweater
|
|
8
|
Sweater
|
|
8
|
T-Shirt
|
|
8
|
Tank Top
|
|
8
|
Off-the Shoulder Top
|
|
8
|
T-Shirt
|
|
8
|
Bodysuit
|
|
5
|
Tank Top
|
|
5
|
Tank Top
|
|
5
|
T-Shirt
|
|
1
|
Tank Top
|
|
8
|
Shorts
|
|
5
|
Tube Top
|
|
7
|
T-Shirt
|
|
6
|
Skirt
|
|
3
|
Midi Dress
|
|
6
|
Tube Top
|
|
5
|
Romper
|
|
8
|
Tube Top
|
|
8
|
Vest
|
|
6
|
Skirt
|
|
5
|
Blouse
|
|
5
|
Blouse
|
|
1
|
Tank Top
|
|
1
|
Tank Top
|
|
6
|
Romper
|
|
7
|
Mini Dress
|
|
7
|
Vest
|
|
4
|
Skirt
|
|
6
|
Vest
|
|
6
|
Vest
|
|
7
|
Mini Dress
|
|
7
|
Ankle Pants
|
|
3
|
Maxi Dress
|
|
3
|
Skirt
|
|
7
|
Handbag
|
|
3
|
Skirt
|
|
8
|
Shoulder Bag
|
|
1
|
Handbag
|
|
2
|
Skirt
|
|
6
|
Tote bag
|
|
2
|
Mini Dress
|
|
3
|
Maxi Dress
|
|
7
|
T-Shirt
|
|
2
|
Mini Dress
|
|
7
|
Jeans
|
|
2
|
Mini Dress
|
|
2
|
Mini Dress
|
|
2
|
Blazer
|
|
7
|
Cardigan
|
|
4
|
Sweatervest
|
|
7
|
Cardigan
|
|
4
|
Pullover
|
|
9
|
Pullover
|
|
6
|
Half Zip
|
|
3
|
Jacket
|
|
2
|
Skirt
|
|
2
|
Skirt
|
|
6
|
Pants
|
|
7
|
Blouse
|
|
8
|
Shirt
|
|
4
|
Tank Top
|
|
7
|
Polo
|
|
8
|
Shorts
|
|
4
|
Shirt
|
|
9
|
handbag
|
|
4
|
Mini Dress
|
|
4
|
Mini Dress
|
|
2
|
Pants
|
|
7
|
Shirt
|
|
3
|
Trench Jacket
|
|
8
|
Tank Top
|
|
8
|
T-Shirt
|
|
3
|
Shirt
|
|
8
|
Jeans
|
|
6
|
Jeans
|
|
1
|
Shorts
|
|
6
|
Denim Jacket
|
|
3
|
Denim Skirt
|
|
10
|
Tank Top
|
|
6
|
Trench Coat
|
|
9
|
Trousers
|
|
8
|
Trench Coat
|
|
6
|
Denim Jacket
|
|
9
|
Tank Top
|
|
9
|
Cardigan
|
|
8
|
Cardigan
|
|
8
|
Sweatpants
|
|
8
|
Sweatshirt
|
|
8
|
Bomber Jacket
|
|
7
|
Shorts
|
|
8
|
Sweater
|
|
7
|
Shorts
|
End of preview. Expand
in Data Studio
Dataset Summary
This dataset contains over 11,500 annotated images of fashion apparel and accessories, designed for machine learning research in fashion understanding, style recommendation, and approval rating prediction. Each image is labeled with:
- A category label (from 62 distinct clothing or accessory types)
- An approval rating (integer, 1–10 scale)
Images are provided in a consistent format and resolution, making the dataset suitable for computer vision applications such as image classification, regression, and multi-task learning.
Supported Tasks and Benchmarks
- Image Classification (category prediction)
- Regression (approval rating prediction)
- Multi-label/Multi-task Learning (joint category and rating prediction)
- Fashion Recommendation and Outfit Rating
Example use cases:
- Training models for fashion item classification
- Building automated approval/rating predictors
- Benchmarking deep learning architectures on fashion-related tasks
Dataset Structure
| Field | Type | Description |
|---|---|---|
| image | image | Apparel or accessory item image |
| approval (1–10) | int64 | Human-assigned rating (1–10) |
| category | string | Category name (62 possible values) |
- File format: Parquet
- Resolution: 228x228 px
Data Splits
- original: 524 rows (likely original photos)
- augmented: 11,000+ rows (expanded via augmentation techniques)
Class Balance and Diversity
- Categories: 62 unique fashion types (T-Shirt, Jeans, Skirt, Handbag, Jacket, etc.)
- Approval Ratings: Well-distributed across 1–10
- Image Variability: Organic and augmented images for robustness
Dataset Size
- Total Rows: 11,528
- Total Size: ~891 MB
Languages
- Category labels and documentation in English
Usage
Please cite or link this dataset in your work when using it for academic, research, or commercial purposes.
from datasets import load_dataset
ds = load_dataset("danjung9/24679-Project-1")
Citation
If you use this dataset, please cite as:
@dataset{danjung9_24679_project_1,
title = {Fashion Approval and Category Dataset},
author = {danjung9},
year = {2025},
url = {https://huggingface.co/datasets/danjung9/24679-Project-1}
}
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