Training large images for Image Classification task by creating BlockedImageDatastore
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I am trying to train a CNN model using Deep Neural Designer App in Matlab. My images are large size images (i.e., 3000*1000) which I am to classify in three categories. Images are located in three different folders named according their class. However, GPU memory did not support when training the large images. I don't want to downsample the images as I may loose information. Now I am trying to see whether I can use blockedImageDatastore method to read the images in blocks (along with their classes). I couldn't find a good example for doing that. I would highly appreciate any guidance.
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Aylin
le 17 Jan 2023
Hello Zia, there's a couple of examples of using BlockedImageDatastore to train networks available here: link
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