[P] Enhancing OpenPose Detection Using Self-Supervised Learning

I've built a simple model for extrapolating open pose detection to points outside of the frame.
It's a simple NN with 2 hidden layers, but the main challenge was the creation of the dataset.

I've been fiddling a lot with different augmentations like rescaling, 3d rotations, accounting for different image ratios and Y-axis flipping.
The effect is seen on these gifs (the "weird" points on the left should be marked as missing, but in this use-case, all the points should …

accounting challenge dataset detection hidden image machinelearning self-supervised learning simple supervised learning