Football Player Detection YOLOv8

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Football Player Detection YOLOv8

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Football Player Detection YOLOv8

Use Case

Football Player Detection YOLOv8

Description

Explore the Player Detection and Tracking in Sports Videos Dataset, designed for training YOLOv8 models. Featuring diverse sports images and detailed annotations, this dataset supports robust development of player detection and tracking models, enhancing sports analytics and AI-driven analysis tools.

Description:

This dataset is meticulously designed for training and evaluating object detection and tracking models, specifically targeting player detection in sports videos. It is formatted for use with the YOLOv8 model and includes a comprehensive set of images and corresponding labels. The images, extracted from various sports videos, capture a range of scenarios including close-ups, wide-angle shots, different lighting conditions, and varying levels of player density. Each image is saved in .jpg format and named sequentially for easy reference.

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Accompanying the images, the dataset includes annotation files in YOLOv8 format, providing bounding box coordinates and class labels for each detected player. The label files are in .txt format and are named identically to their corresponding images, ensuring seamless pairing. This dataset is an invaluable resource for researchers and developers working on sports analytics and automated player tracking, offering the necessary data to develop robust and accurate models for a variety of sports scenarios