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With SVM, adaboost or similar alogrithms, image training sets must be cropped with specific constraints (keep image cropping ratio the same, have object tightly cropped, same resolution)

In general, does a training set for a neural network based classifier need to be generated under the same constraints?

If not, which constraints can be removed or loosened?

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