Datasets:
Tasks:
Object Detection
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
license: mit | |
dataset_info: | |
features: | |
- name: id | |
dtype: string | |
- name: image | |
dtype: binary | |
- name: annotation | |
sequence: | |
sequence: float64 | |
- name: metadata | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 22088296176 | |
num_examples: 10000 | |
- name: test | |
num_bytes: 6615226028 | |
num_examples: 3000 | |
download_size: 28512980450 | |
dataset_size: 28703522204 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
- split: test | |
path: data/test-* | |
task_categories: | |
- object-detection | |
language: | |
- en | |
tags: | |
- mtg | |
- detection | |
- synthetic | |
pretty_name: Magic The Gathering Card Detection Dataset | |
size_categories: | |
- 10K<n<100K | |
## Magic The Gathering Card Detection Dataset | |
This dataset is dedicated to people wanting to build card detection models. | |
It will emulate MTG cards in random positions and provide the visible corners positions for each card as well as the direction to the next corner for each corner. | |
### Example | |
![card_000019_debug.png =250x250](https://cdn-uploads.huggingface.co/production/uploads/64626aa252193f295762ec2c/f_yyqOJJdLimX5aUUrHds.png) | |
It contains 10k 1024x1024 pictures in the train split and 3k in the test split. | |
## Structure | |
Each row of the dataset contains: | |
- id: (int) image id | |
- image: (binary) The binary image | |
- annotation: (array<point>) An array of corners representations: | |
- x: float [0, 1] x relative position in the image | |
- y: float [0, 1] y relative position in the image | |
- visible: bool Is the point visible or hidden by other cards | |
- angle: float [-PI, PI] angle of the vector going to the next corner | |
- corner_id: int [0, 1, 2, 3] which card corner (top left, top right, bottom right, bottom left) | |
- A string containg JSON data: all metadata associated with each card present in the frame if one wants to go further [rarity detection / frame types / artists / mana values / etc...] | |
## Credits: | |
This dataset is based on other existing MIT Licensed dataset: | |
- MTG-Json | |
- Scryfall | |
This project is unofficial Fan Content permitted under the Fan Content Policy. Not approved/endorsed by Wizards. Portions of the materials used are property of Wizards of the Coast. | |
©Wizards of the Coast LLC. |