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README.md
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- split: augmented
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path: data/augmented-*
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- split: augmented
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path: data/augmented-*
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---
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# Dataset Card for aedupuga/cards-image-dataset
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### Dataset Description
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This Dataset consists of images of some of the cards in 2 different card decks labelled as **Face (0)** or **Value(1)**
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- **Curated by:** [Anuhya Edupuganti]
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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### Direct Use
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- Training and evaluating image classification models
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- Experimenting with image preprocessing (resizing and augmentation)
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## Dataset Structure
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This data set contains teo splits:
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- **original**: 30 samples of cards from standard bicycle card deck as well as special disney variety deck.
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- **augmented**: 300 examples (synthetically generated to balance and expand the dataset).
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Each row includes:
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- `image`: an image file (jpg)
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- `label`: integer class label (0 = Face card, 1= Value card)
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### Curation Rationale
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This dataset was generated as a practice in image dataset creation and augmentation.
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#### Data Collection and Processing
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- Original data collected from playing cards available on hand.
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- Augmentation generated with transformation such as rotation, flips and cropping.
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## Bias, Risks, and Limitations
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- **Small sample size:** Only 30 original samples.
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- **Synthetic augmentation:** Does not capture real-world variation card designs
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### Recommendations
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- Use primarily to practice classification methods.
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## Dataset Card Contact
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Anuhya Edupuganti (Carnegie Mellon Univerity)- aedupuga@andrew.cmu.edu
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