README.md

---
dataset_info:
  features:
  - name: Formality
    dtype: string
  - name: is winter wearable?
    dtype: int64
  - name: image
    dtype: image
  splits:
  - name: original
    num_bytes: 255235.0
    num_examples: 30
  - name: augmented
    num_bytes: 20565829.0
    num_examples: 300
  download_size: 20814911
  dataset_size: 20821064.0
configs:
- config_name: default
  data_files:
  - split: original
    path: data/original-*
  - split: augmented
    path: data/augmented-*
license: cc
task_categories:
- image-classification
language:
- en
tags:
- computervision
- clothing
- outfits
- winterwear
- education
pretty_name: Outfit Combos (Winter Wearability)
size_categories:
- n<1K
---
# Dataset Card for Outfit Dataset

This dataset card documents the **Clothing Outfit Dataset**.  
It contains 30 original outfit images (shirt-pant combinations) with categorical and binary labels, with an augmented split expanding to 300 images.  

## Dataset Details

**Dataset Description**  
- **Curated by:** Bareethul Kader (Carnegie Mellon University)  
- **Language(s):** English (labels: formality, binary target)  
- **License:** CC BY 4.0  
- **Repository:** [bareethul/clothing-outfits](https://huggingface.co/datasets/bareethul/outfit-image-dataset)  

---

## Uses

**Direct Use**  
- Educational practice in **computer vision dataset creation and augmentation**.  
- Binary classification task: predict whether an outfit is **wearable in winter** with a jacket.  
- Multi-class classification: predict outfit **formality** (Casual, Semi-Formal, Formal).  

**Out-of-Scope Use**  
- Not intended for fashion recommendations or e-commerce applications.  
- Images represent a limited personal wardrobe, not generalizable fashion data.  

---

## Dataset Structure

- **Original split:** 30 manually captured outfit images (shirt–pant combos).  
- **Augmented split:** 300 images generated with **torchvision transforms** (random crop, flip, rotation, color jitter, etc.).  

**Features:**  
- `Image` (224×224 JPG, RGB)  
- `Formality` (categorical: Casual, Semi-Formal, Formal)  
- `is_winter_wearable` (binary target: `1 = yes, 0 = no`)  

---

## Dataset Creation

**Curation Rationale**  
To study how outfit images can be labeled for **seasonal wearability** and **formality classification** in a simplified educational dataset.  

**Data Collection and Processing**  
- Original images manually photographed by the dataset creator (shirt–pant combos).  
- Images resized to **224×224 pixels** for consistency.  
- Binary label `is_winter_wearable` assigned based on whether the outfit could be worn in winter with a jacket.  
- Augmentation applied using PyTorch/Torchvision (random flips, rotations, color jitter, erasing, etc.).  

**Source Data Producers**  
- Original producer: Bareethul Kader (personal clothing images).  
- Dataset curated solely for educational purposes.  

---

## Annotations

- **Annotation Process:**  
  - `Formality` labeled manually by the creator (Casual, Semi-Formal, Formal).  
  - `is_winter_wearable` labeled based on personal judgment.  
- **Annotators:** Dataset creator.  

---

## Personal and Sensitive Information

- No faces, people, or identifying information included.  
- Only images of **inanimate clothing items**.  

---

## Bias, Risks, and Limitations

- Small dataset (30 images) — not representative of all outfit styles.  
- Subjective labels (`formality`, `is_winter_wearable`) may reflect individual judgment, not universal agreement.  
- Augmentation may create visually unrealistic variants.  

---

## Recommendations

Users should be aware of the **limited scope and subjectivity** of this dataset.  
It is intended only for **educational demonstrations** of image dataset creation and augmentation.  

---

## Citation

**BibTeX:**  
```bibtex
@dataset{bareethul_clothing_outfits,
  author       = {Kader, Bareethul},
  title        = {Clothing Outfit Dataset},
  year         = {2025},
  publisher    = {Hugging Face Datasets},
  url          = {https://huggingface.co/datasets/bareethul/clothing-outfits}
}