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A form of signal processing where the input is an image. Usually treating the digital image as a two-dimensional signal (or multidimensional). This processing may include image restoration and enhancement (in particular, pattern recognition and projection).
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Does chip size affect accuracy while training the image in semantic segmentation using UNet?
I am working on a UNet model with backbone set to ResNet34.
My data is high resolution (7.5 centimeter) satellite imagery. Currently I am processing my data on my laptop, hence I cannot create a chips …