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---
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
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