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Hi,

I have a general question about object detection. I'll explain in using an example.

I intend to implement a flower detector that will be based on BOW+SVM.

Should I train the SVM using all the flower images or should I divide the flowers into categories - lily, tulip etc. - and train several detectors, each for a single flower category?

Would there be a difference in the results?

Thanks,

Gil.

Hi,

I have a general question about object detection. I'll explain in using an example.

I intend to implement a flower detector that will be based on BOW+SVM.

Should I train the SVM using all the flower images or should I divide the flowers into categories - lily, tulip etc. - and train several detectors, each for a single flower category?

Would there be a difference in the results?

Thanks,

Gil.