README.md

---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Face
          '1': Value
  splits:
  - name: original
    num_bytes: 291721.0
    num_examples: 30
  - name: augmented
    num_bytes: 20434334.0
    num_examples: 330
  download_size: 20725563
  dataset_size: 20726055.0
configs:
- config_name: default
  data_files:
  - split: original
    path: data/original-*
  - split: augmented
    path: data/augmented-*
---

# Dataset Card for aedupuga/cards-image-dataset

### Dataset Description

This Dataset consists of images of some of the cards in 2 different card decks labelled as **Face (0)** or **Value(1)**

- **Curated by:** Anuhya Edupuganti


## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

- Training and evaluating image classification models 
- Experimenting with image preprocessing (resizing and augmentation)

## Dataset Structure

This data set contains teo splits:
- **original**: 30 samples of cards from standard bicycle card deck as well as special disney variety deck.
- **augmented**: 300 examples (synthetically generated to balance and expand the dataset).

Each row includes:  

- `image`: an image file (jpg)
- `label`: integer class label (0 = Face card, 1= Value card)



### Curation Rationale

This dataset was generated as a practice in image dataset creation and augmentation.


#### Data Collection and Processing

- Original data collected from playing cards available on hand.
- Augmentation generated with transformation such as rotation, flips and cropping.


## Bias, Risks, and Limitations

- **Small sample size:** Only 30 original samples.  
- **Synthetic augmentation:** Does not capture real-world variation card designs

### Recommendations

- Use primarily to practice classification methods.

## Dataset Card Contact

Anuhya Edupuganti (Carnegie Mellon Univerity)- aedupuga@andrew.cmu.edu