Ask Your Question

Revision history [back]

click to hide/show revision 1
initial version

On what factors does "Bag of Words" training efficiency depends?

Hello all,

Is it better to train a classifier on "Low Res" images than "High res" images? I am asking this question to efficiently classify objects based on their shape. Such that It will search in the vocabulary of that particular shape other than matching it against the whole homograph(~60MB).

I am working on a project to identify products in a Supermart. My idea is to classify products based on shape like-
/Bottle // here i will have a vocabulary of bottles /beer /wine /sauce /Carton // here i will have a vocabulary of carton /washing power /chocolates /Packets // here i will have a vocabulary of Packets /soup sachets /Noodles ... and so on

Please guide me if I am going in wrong direction. Thanks for your help.

Aditi K