You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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?
The text was updated successfully, but these errors were encountered:
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?
The text was updated successfully, but these errors were encountered: