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