work in progress :)
in the meantime, im playing around with the semseg dataset from comma. Currently am getting a CE loss of 0.04 on the training set (images + masks). Let's see if I can beat the comma10k-baseline
Here's a sample prediction image from the model (playing around with resnet/efficientnet encoders w/ weighted Adam optimizers + Dice Loss):
