I am using dataset given by TGS salt identification challenge - Kaggle (https://www.kaggle.com/c/tgs-salt-identification-challenge/datadataset.
I am new to fastai. I am running this on GCP.
My train data is images and output is the mask for those images. I am using below code
src = (SegmentationItemList.from_folder(image_path)
#codes = [‘salt’, ‘not_salt’] labels
learn = unet_learner(data, models.resnet34, metrics=metrics, wd=wd)
above lines of code running perfectly, but when I execute the line
It gives me an error like: IndexError: Target 101 is out of bounds.
each and every run time it changes the target.
Can anyone please me help me out here how to solve this kind of error and what is the reason behind it