I’m trying to create a CNN that can predict the position of up to 5 objects. Each point has 4 values: x and y coordinates, a presence value(0 if it’s a padding value, 1 if it exists) and a depth value(0 for close up/short depth, 1 for far away/long depth). No matter what I do the model is unable to learn/overfit. I just ran it for 600 epochs on a dataset of 100 images with no augmentation, dropout, regularization or anything else that could lower overfitting and it was still unable to place points where it was supposed to.