Hi everyone,
I’m working on keypoint annotation for training pose detection models, and I’m wondering about the impact of annotating occluded keypoints.
- Is there a real benefit in explicitly marking a keypoint as occluded during annotation?
- Does it improve the overall accuracy of predicted keypoints?
- Does it help reduce errors such as joint swaps (incorrectly swapped joints) or outliers (incorrectly placed keypoints)?
If you have any insights, research references, or personal experiences on this topic, I’d love to hear your thoughts!
Thanks in advance for your input.