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i am playing around with some CNNs for semantic segmentation. The job is to detect all pixels that belong to buildings from aerial footage. This is a binary semantic segmentation, so i am only interested in "building" and "not building". I have got huge trainingsets for this purpose and i am wondering if it's possible to turn these trainingssets to sets for object detection. So a program, that takes an image with outlines of all the buildings and just creates the bounding boxes of those buildings. That should be quite easy i think...

Thank you in advance for your help! Knust

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