Datasets:
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image
imagewidth (px) 416
4.03k
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stringlengths 48
72
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sequence | image_width
int32 416
4.03k
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int32 416
3.02k
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stringclasses 2
values |
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End of preview. Expand
in Data Studio
Chess Piece Detection Datasets: merged-chess_pieces_dominique-chess_pieces_roboflow
Dataset Description
This is a merged dataset combining multiple chess piece detection datasets.
Comprehensive chess piece detection dataset combining multiple high-quality sources. This merged dataset provides more training data and better generalization for chess piece detection models.
Dataset Structure
The dataset follows the YOLOv8 format with the following structure:
train/: Training images and labelsvalid/: Validation images and labelstest/: 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/merged-chess_pieces_dominique-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.
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