chunk_content: els = len(id2label)
  
  Prepare datasets for training and evaluation
  	
  Next, load the SegFormer image processor to prepare the images and annotations for the model. This dataset uses the
  zero-index as the background class, so make sure to set reduce_labels=True to subtract one from all labels since the
  background class is not among the 150 classes. 
  
  
  	Copied
  from transformers import AutoImageProcessor
  
  checkpoint = "nvidia/mit-b0"
  image_processor