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

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