Segregate fruits as defective and non defective by image classification in python. Use CNN model for training and testing on apple image data set. Features should be considered are shape ,size and color of fruit. Any fruit smaller than normal size , even though qualifying all the testing parameters , should be discarded.
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Hi, I have +5 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, Please contact me to discuss more. Have a nice day