Datasets:

dopaul
/

chess-pieces-roboflow

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Chess Piece Detection Dataset: chess_pieces_roboflow

Dataset Description

This dataset contains chess piece detection annotations in YOLOv8 format.

Chess piece detection dataset from Roboflow with processed labels, cleaned and standardized for YOLOv8 format.

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:

black-bishop
black-king
black-knight
black-pawn
black-queen
black-rook
white-bishop
white-king
white-knight
white-pawn
white-queen
white-rook

Usage

from datasets import load_dataset

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

# 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.

Downloads last month: 161

Size of downloaded dataset files:

16.8 MB

Size of the auto-converted Parquet files:

16.8 MB

Number of rows:

693