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How to remove false detection (False Positives) in Faster RCNN

Open Syed05 opened this issue 4 years ago • 0 comments

I am using Faster RCNN with Inception V2 on custom dataset. My model is working fine with good detection accuracy. However, I am facing false positive problem when I pass an image to the model I get correct prediction but I am also getting some wrong bounding boxes with high confidence score. Is there any method which can be used as a post-processing to remove these extra detection?

Syed05 avatar Apr 08 '21 05:04 Syed05