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Which of the data augmentation technique would you prefer for an object recognition problem?
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Which of the data augmentation technique would you prefer for an object recognition problem?
What can be represented by using histograms or empirical frequency distributions?
Which are recognized by vision?
Which describes the coarse arrangement of the rest of the shape with respect to the point?
Which object recognition process is an error-prone process?
Which is the only way to learn about the different kinds of human faces
Which can be deformed into alignment using simple coordinate transformations?
Which provides a framework for studying object recognition?
How the distance between two shapes can be definied?
How many types of recognition are there in artificial intelligence?
Why is image recognition a key function of ai?
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