DeepSportradar/ball-3d-localization-challenge
A Ball 3D Localization challenge on Basketball images. An opportunity to publish at MMSports @ ACMMM and to win 2x $500.
This project helps sports analysts and computer vision researchers accurately estimate the size of a basketball in video frames. By inputting basketball images, it outputs the ball's size in pixels, which can then be used to determine its 3D location in a basketball scene. This is ideal for those involved in sports analytics, video tracking, or developing new computer vision models for sports.
No commits in the last 6 months.
Use this if you need to precisely locate a basketball in 3D space from video footage and require a reliable method to estimate the ball's pixel size.
Not ideal if you are looking for a general object detection or tracking tool outside the specific domain of basketball ball localization.
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Last pushed
Oct 05, 2022
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