What is the best way to create dataset for Neural Network

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Hi,
I'm using newrbe to classify food objects, so far I'm feeding the network with the image as an input, this is a bad approach. So I will switch to feature extraction I need to create a dataset from the feature extraction. Could you please guide me what are the best features to extract? then how can we create a dataset to the extracted features?
These are the food types I need to classify: 1) rice. 2) potato. 3) pizza. 4) cup cake. 5) glass of milk.
Thanks.

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