Supervised Learning with predefined ROI

(caner karagüler) #1

Hi,

I want to predefine the ROI that contains defects in my data before training them. My model extracts irrelevant features that I don’t want, so with predefining the ROI I want to make these defects more obvious for my model. In fast.ai is there any tool/method exists for supervising the ROI before training the model?

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(Navid Panchi) #2

Why don’t you crop your Image and just keep the part with the defect? Also I think you should mention what type of problem do you have, is it an Object-detection problem or Image classification problem.

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(caner karagüler) #3

It’s a classification problem, and the defect does not have certain geometrical shape. I have already cropped the defects but as the defect does not have a certain geometrical shape, the cropped region includes some of the unwanted regions.

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(Navid Panchi) #4

Let’s say you succeed in providing ROI. How are you gonna do that for test images?

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