I’m following the course and I noticed how all the images used to train a model are of very small size, so I was wondering what techniques could be applied in order to make it feasible to train models with very high resolution images. I work in the film and video industry and I would love to be able to apply what I’m learning on some problems regarding my field, but all images are at the very leasy 2k or 4k format.
For example a segmentation like the one shown in lesson3 is still great but pretty useless on 4k images because of the lack of fine details.
I also have a similar question
There is the same question but with more answers here: How to train on dataset of large images