---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: approval(1-10)
    dtype: int64
  - name: category
    dtype: string
  splits:
  - name: original
    num_bytes: 6612290.0
    num_examples: 524
  - name: augmented
    num_bytes: 884638915.5
    num_examples: 11004
  download_size: 891157080
  dataset_size: 891251205.5
configs:
- config_name: default
  data_files:
  - split: original
    path: data/original-*
  - split: augmented
    path: data/augmented-*
---

# 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.

```python
from datasets import load_dataset
ds = load_dataset("danjung9/24679-Project-1")
```

## Citation
If you use this dataset, please cite as:

```text
@dataset{danjung9_24679_project_1,
  title = {Fashion Approval and Category Dataset},
  author = {danjung9},
  year = {2025},
  url = {https://huggingface.co/datasets/danjung9/24679-Project-1}
}
```