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The MegaFace Benchmark: 1 Million Faces for Recognition at Scale
http://megaface.cs.washington.edu/ WebFace recognition and verification performance under up to 1 million distractors. Performance is measured using probe and gallery images from FaceScrub, a labeled data set. FG-Net is also used to further stress the age invariance properties of algorithms. Interested to examine the results further? Download the JSON results from Challenge 1 here. WebFacial Recognition Software. IntelliVision’s Face Recognition software is a fast, accurate, deep learning-based facial recognition solution for OEMs, integrators and developers that can detect faces of all ethnicities, without racial bias, and recognize them from a database of images. Optimized for working in-camera with restricted CPU power ... igh 199 school