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I have trained a custom MaskRCNN instance segmentation model.
However, I am encountering intersections between predictions, as evident in the provided example. While the boundaries of the predicted objects may be close, there should be no overlap.
How can I avoid these intersections ?
Extra:
So, I expect an output like the example below, where nothing is included in each other. ( Architecture is different but output should be something like below )
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I have trained a custom MaskRCNN instance segmentation model.
However, I am encountering intersections between predictions, as evident in the provided example. While the boundaries of the predicted objects may be close, there should be no overlap.
How can I avoid these intersections ?
Extra:
So, I expect an output like the example below, where nothing is included in each other. ( Architecture is different but output should be something like below )
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