MSBD: Marathon Shoe Brand Dataset for YOLOv8-based Detection

MSBD (Marathon Shoe Brand Dataset) is a dataset developed for footwear brand detection in marathon scenarios using deep learning-based object detection methods. The dataset contains 4,664 images with 5,320 annotated instances from 10 brand categories. All images were cropped to footwear regions and contain no identifiable facial information. Annotations are provided in YOLO format, enabling direct application in YOLO-based object detection frameworks. This dataset is intended to support academic research in computer vision, object detection, and brand recognition.