Datasets:
| 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-board-4 | |
| ## Dataset Description | |
| This dataset contains chess piece detection annotations in YOLOv8 format. | |
| Chess board segmentation dataset with polygon annotations for precise board detection and localization. Optimized for YOLOv8 segmentation training with chess-board class. | |
| ## 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/chess-board-4") | |
| # 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. | |