Mehmet Kerim Yucel et al haben eine Datenbank voller Gesichter in gewalttätigen Settings am Start, um Computervision-Systeme auf wilde Hunde zu trainieren. Existierende Gesichtserkennungs-Algorithmen versagen (noch) an den Schlägerfressen (unter anderem: Bruce Willis, Dwayne The Rock Johnson, Al Pacino und Chuck Norris) und echte Gewalttäter haben noch ein bisschen Zeit bevor die Video-Überwachung automatisch zuschlägt. Aber ich liebe alleine die Existenz dieser Datenbank voller boxender Menschen. Wild Faces FTW! (via Improbable Research)
With the introduction of large-scale datasets and deep learning models capable of learning complex representations, impressive advances have emerged in face detection and recognition tasks. Despite such advances, existing datasets do not capture the difficulty of face recognition in the wildest scenarios, such as hostile disputes or fights. Furthermore, existing datasets do not represent completely unconstrained cases of low resolution, high blur and large pose/occlusion variances. To this end, we introduce the Wildest Faces dataset, which focuses on such adverse effects through violent scenes. The dataset consists of an extensive set of violent scenes of celebrities from movies. Our experimental results demonstrate that state-of-the-art techniques are not well-suited for violent scenes, and therefore, Wildest Faces is likely to stir further interest in face detection and recognition research. […]
In this paper, we present a new benchmark dataset, namely Wildest Faces, where we put the emphasis on violent scenes with virtually unconstrained scenarios. In addition to previously studied adverse conditions, Wildest Faces dataset contains images from a large spectrum of image quality, resolution and motion blur (see Fig. 1). The dataset consists of videos of celebrities in which they are practically fighting. There are ∼ 68K images (a.k.a frames) and 2186 shots of 64 celebrities, and all of the video frames are manually annotated to foster research both for detection and recognition of “faces in the wildest”. It is especially
important from the surveillance perspective to identify the people who are involved in crime scenes and we believe that the availability of such a dataset of violent faces would stir further research towards this direction as well.