acidtib/tcg-ga-cards

Grand Archive TCG Dataset

This dataset contains high-quality images of Grand Archive cards, processed and formatted for machine learning tasks. The images are standardized to 500x700 pixels in JPG format.

Each image is labeled with its unique slug, which can be used to fetch additional card information from the Grand Archive API.

Usage

You can load the dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("acidtib/tcg-ga-cards")

Dataset Structure

Data Instances

A sample from the training set is provided below:

{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=500x700 at 0x7D8619332FC0>,
  'labels': 0
}

Data Fields

The data instances have the following fields:

• image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
• labels: an int classification label.

Creation Tools

This dataset was created using:

• tcg-fetch - Simple program to fetch trading card images from various APIs.
• tcg-upload - A Python script for uploading multi-split image datasets to Hugging Face Hub.

Acknowledgments

• Card data and images provided by Grand Archive API
• Grand Archive is owned by Weebs of the Shore LLC