Comments (2)
Hi, yes I think it would. If you use the same person in both training and testing, you're not testing that you have a general tracker but rather a tracker calibrated for the dataset persons. Furthermore, if you do it randomly, you will get very similar images in both splits because the images of the same person were taken in a relatively quick succession. At that point you may as well not split it at all and just test on training data (which is bad).
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Related Issues (20)
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