Football Player Segmentation for Computer Vision Tasks

This dataset is specifically curated for computer vision tasks focused on football player detection and segmentation in matches. It consists of a variety of images showcasing players in different positions, such as goalkeepers, defenders, midfielders, and forwards, captured from multiple angles and distances. Each image is accompanied by precise pixel-level masks, providing detailed information about player locations and segmentation boundaries, making it an ideal resource for training deep learning models aimed at player segmentation. The dataset not only enhances the accuracy of computer vision algorithms but also promotes innovative solutions for player analysis in football matches.