The ImageNet researchers attribute the inclusion of offensive and insensitive categories to the overall size of the task, which ultimately involved 50K workers who evaluated 160M candidate images. They also point out that only a fraction of the “person” images were actually used in practice. That’s because references to ImageNet typically mean a smaller version of the data set used in the ImageNet Challenge

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