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Hello,

I am new to Computer Vision, so please forgive me if the question is a non sense.

I would like to know if one can use the FaceRecognizer<> algorithm wrappers to discern between object 'flavours/classes' which are not faces ?

i.e: I detect a type of bottle (the detection is another topic, lets assume we can detect bottles) in an image. Now i want to train a LBPFaceRecognizer to predict if the detected bottle is a champaign one, or a coke one . Does it make sense to use a LBPFaceRecognizer and train it with champain and coke bottle in order to have a good prediction result?

Thank you

Hello,

I am new to Computer Vision, so please forgive me if the question is a non sense.

I would like to know if one can use the FaceRecognizer<> algorithm wrappers to discern between object 'flavours/classes' which are not faces ?

i.e: I detect a type of bottle (the detection is another topic, lets assume we can detect bottles) in an image. Now i want to train a LBPFaceRecognizer to predict if the detected bottle is a champaign one, or a coke one . Does it make sense to use a LBPFaceRecognizer and train it with champain and coke bottle in order to have a good prediction result?

Thank you