MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Chess Pieces Detection Dataset (YOLO format)
📦 Overview
This dataset is designed for object detection of chess pieces on a chessboard using YOLOv5/YOLOv10.
Classes: 12 (6 white + 6 black pieces) Format: YOLO (txt annotations) Split: Train/Validation Image count: ~2208 images
🗂️ Structure
images/train/ images/val/ labels/train/ labels/val/ dataset.yaml
🏷️ Class Names
0 = white pawn 1 = white rook 2 = white knight 3 = white bishop 4 = white queen… See the full description on the dataset page: https://huggingface.co/datasets/acapitani/chesspiece-detection-yolo.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The number of images in training, testing, and validation sets corresponds to the five aquatic environments.
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MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Chess Pieces Detection Dataset (YOLO format)
📦 Overview
This dataset is designed for object detection of chess pieces on a chessboard using YOLOv5/YOLOv10.
Classes: 12 (6 white + 6 black pieces) Format: YOLO (txt annotations) Split: Train/Validation Image count: ~2208 images
🗂️ Structure
images/train/ images/val/ labels/train/ labels/val/ dataset.yaml
🏷️ Class Names
0 = white pawn 1 = white rook 2 = white knight 3 = white bishop 4 = white queen… See the full description on the dataset page: https://huggingface.co/datasets/acapitani/chesspiece-detection-yolo.