So I’ve created a custom dataset which I’ve trained for object detection. It consists of a few classes, with some of them are “male” or “female” players. I can use it for tracking players in a sports video.
However, now I want to do something with pose estimation. Like if a player shoots or passes a ball. Should I create a new project and dataset for keypoint detection? Or can I use my current object detection dataset and make use of the detected bounding boxes and doing pose estimation per bounding box?
Just looking for the right approach. Thanks in advance!