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The GREW dataset is the first large-scale dataset for gait recognition in the wild. constructed from natural videos, which contains hundreds of cameras and thousands of hours streams in open systems. 26,345 subjects, 128,671 sequences, 14,185,478 human boxes and a distractor set contains 233,857 sequences.

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