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FDDB (Face Detection Dataset and Benchmark)

Introduced by Jain et al. in Fddb: A benchmark for face detection in unconstrained settings

The Face Detection Dataset and Benchmark (FDDB) dataset is a collection of labeled faces from Faces in the Wild dataset. It contains a total of 5171 face annotations, where images are also of various resolution, e.g. 363x450 and 229x410. The dataset incorporates a range of challenges, including difficult pose angles, out-of-focus faces and low resolution. Both greyscale and color images are included.

Source: A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications

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