DeepSportRadar-v1

DeepSportradar is a benchmark suite of computer vision tasks, datasets and benchmarks for automated sport understanding. DeepSportradar currently supports four challenging tasks related to basketball: ball 3D localization, camera calibration, player instance segmentation and player re-identification. For each of the four tasks, a detailed description of the dataset, objective, performance metrics, and the proposed baseline method are provided.

Source: DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations

Image Source: https://github.com/deepsportradar/instance-segmentation-challenge