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Input Size Limitations for CNN
Imagenet was trained on 224x224x3 images, and it seems like most of deep learning has tailored its research on input images of approximately this size.
I work in the medical domain, and frequently see biopsy scans on the order of 6000x30000x3 (540,000,000 pixels; its like a 2GB file) which I would like to explore with deep learning. Is there anything stopping me from running resnet on a dataset of these files? I have gpus with 40gb vram available.
Edit: This …!-->