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README.md
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- name: x_center
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dtype: float32
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- name: y_center
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dtype: float32
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- name: width
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dtype: float32
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- name: height
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dtype: float32
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- name: image_width
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dtype: int32
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- name: image_height
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dtype: int32
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- name: source_dataset
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dtype: string
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splits:
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- name: train
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num_bytes: 65763059.0
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num_examples: 733
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- name: valid
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num_bytes: 13603135.0
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num_examples: 85
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- name: test
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num_bytes: 6395677.0
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num_examples: 37
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download_size: 85726174
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dataset_size: 85761871.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: valid
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path: data/valid-*
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- split: test
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path: data/test-*
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---
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license: cc-by-4.0
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task_categories:
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- object-detection
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tags:
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- chess
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- computer-vision
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- yolo
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- object-detection
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size_categories:
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- 1K<n<10K
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# Chess Piece Detection Datasets: merged-chess_pieces_dominique-chess_pieces_roboflow
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## Dataset Description
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This is a merged dataset combining multiple chess piece detection datasets.
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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.
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## Dataset Structure
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The dataset follows the YOLOv8 format with the following structure:
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- `train/`: Training images and labels
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- `valid/`: Validation images and labels
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- `test/`: Test images and labels
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## Classes
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The dataset contains 12 classes of chess pieces:
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0. black-bishop
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1. black-king
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2. black-knight
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3. black-pawn
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4. black-queen
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5. black-rook
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6. white-bishop
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7. white-king
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8. white-knight
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9. white-pawn
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10. white-queen
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11. white-rook
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## Usage
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("dopaul/merged-chess_pieces_dominique-chess_pieces_roboflow")
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# Access different splits
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train_data = dataset["train"]
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valid_data = dataset["valid"]
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test_data = dataset["test"]
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# Example: Access first training image and annotations
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example = train_data[0]
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image = example["image"]
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annotations = example["annotations"]
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```
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## Citation
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If you use this dataset, please consider citing the original sources and this repository.
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## License
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This dataset is released under the CC BY 4.0 license.
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data.yaml
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names:
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0: black-bishop
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1: black-king
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2: black-knight
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3: black-pawn
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4: black-queen
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5: black-rook
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6: white-bishop
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7: white-king
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8: white-knight
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9: white-pawn
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10: white-queen
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11: white-rook
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nc: 12
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source_datasets:
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- chess_pieces_dominique
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- chess_pieces_roboflow
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