README.md

metadata

license: cc-by-4.0
task_categories:
  - object-detection
tags:
  - chess
  - computer-vision
  - yolo
  - object-detection
size_categories:
  - 1K<n<10K

Chess Piece Detection Dataset: chess_pieces_dominique

Dataset Description

This dataset contains chess piece detection annotations in YOLOv8 format.

Chess piece detection dataset from Dominique/Roboflow with 12 classes of chess pieces, optimized for YOLOv8 training.

Dataset Structure

The dataset follows the YOLOv8 format with the following structure:

• train/: Training images and labels
• valid/: Validation images and labels
• test/: Test images and labels

Classes

The dataset contains 12 classes of chess pieces:

0. black-bishop
1. black-king
2. black-knight
3. black-pawn
4. black-queen
5. black-rook
6. white-bishop
7. white-king
8. white-knight
9. white-pawn
10. white-queen
11. white-rook

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("dopaul/chess_pieces_dominique")

# Access different splits
train_data = dataset["train"]
valid_data = dataset["valid"]
test_data = dataset["test"]

# Example: Access first training image and annotations
example = train_data[0]
image = example["image"]
annotations = example["annotations"]

Citation

If you use this dataset, please consider citing the original sources and this repository.

License

This dataset is released under the CC BY 4.0 license.