SF-MASK (Small Face MASK)
Introduced by Cunico et al. in A Masked Face Classification Benchmark on Low-Resolution Surveillance Images
SF-MASK is a collection made from 20k low-resolution images exported from diverse and heterogeneous datasets, ranging from 7 x 7 to 64 x 64 pixel resolution. An accurate visualization of this collection, through counting grids, made it possible to highlight gaps in the variety of poses assumed by the heads of the pedestrians.
Source: A Masked Face Classification BenchmarkPapers
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