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Amid the recent global COVID‑19 outbreak, regions severely affected (e.g., Wuhan) saw near‑universal mask usage, creating a massive pool of samples. We collected these to build the world’s largest masked‑face dataset, released publicly to support current and future public‑safety scenarios. Using this data, we design mask‑occluded face detection and recognition algorithms for closed‑community access control, upgraded facial‑recognition turnstiles at stations and airports, and attendance systems that operate under mask‑cover conditions.
