I am trying to use fastai v2 to train an unet segmentation model on vehicle parts data set of around 100 images. The images were taken for particular views of the car, where mostly a smaller areas of the parts are included in one image. I am not sure why the accuracy is that bad (Dice>3). Should the images include a larger view of the car? Should I add more images? OR…?
Any suggestion will be appreciated.