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As you said, a CNN would be able to detect objects in different positions if the dataset contains enough examples of such cases, though the network is able to generalize and should be able to detect objects in slightly changed positions and orientations. The term "translation invariance" does not mean that translating an object in the image would ...


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Yes, the functionality should is there. But, don't you think you are overdoing the scales. You have at least 18 scales mentioned here. Too much of anything is bad. There is a reason it likes things divisible by 32 because at that increase in size something more meaningful will show up in the image. Spamming sizes like this won't help you at all, it would ...


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