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Hi! Thanks for your answer. I will try this out ASAP. And to answer your question, I am trying to build R-CNN network. In order to do that I want to generate ROI proposals based on ANNOTATED training data for building dataset, and later use method that generated ROI proposals for NEW images so that trained network can classify them. Thing is, SelectiveSearch is giving me really poor results.
By poor results I mean that Intersection Over Union with proposed regions and GROUND TRUTH region is never higher then 0.2 (20%).
Any thoughts?
