metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Face
'1': Value
splits:
- name: original
num_bytes: 291721
num_examples: 30
- name: augmented
num_bytes: 20434334
num_examples: 330
download_size: 20725563
dataset_size: 20726055
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
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