ImageSegmentation
	
function defined in module 
	FastVision
			ImageSegmentation(size, classes; kwargs...)
			Learning task for image segmentation. Images are resized to 
			size and a class is predicted for every pixel.
			
			computestats = false: Whether to compute image statistics on dataset 
			data or use default ImageNet stats.
			
			aug_projections = 
	
			
			DataAugmentation.Identity: augmentation to apply during 
	
			
			ProjectiveTransforms (resizing and cropping)
			
			aug_image = 
	
			
			DataAugmentation.Identity: pixel-level augmentation to apply during 
	
			
			ImagePreprocessing
			
			C = RGB{N0f8}: Color type images are converted to before further processing. Use 
			Gray{N0f8} for grayscale images.
There are
			2
			methods for FastVision.ImageSegmentation:
		
The following pages link back here:
Discovery, New visualization tools for FastAI.jl, Quickstart, fastai API comparison