I have to detect one object which exists in a blue and red state. Should I use separate positive samples and do separate cascade training for each object, or can one cascade classifier be used to identify the object and determine if it is the red or blue form? I'd imagineit'd be much more efficient to use one cascade classifier, if this is possible.
Thanks in advance
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