Pose estimation after object detection or start over?

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!

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