SoF Dataset

The Specs on Faces (SoF) dataset, a collection of 42,592 (2,662×16) images for 112 persons (66 males and 46 females) who wear glasses under different illumination conditions. The dataset is FREE for reasonable academic fair use. The dataset presents a new challenge regarding face detection and recognition. It is focused on two challenges: harsh illumination environments and face occlusions, which highly affect face detection, recognition, and classification. The glasses are the common natural occlusion in all images of the dataset. However, there are two more synthetic occlusions (nose and mouth) added to each image. Moreover, three image filters, that may evade face detectors and facial recognition systems, were applied to each image. All generated images are categorized into three levels of difficulty (easy, medium, and hard). That enlarges the number of images to be 42,592 images (26,112 male images and 16,480 female images). There is metadata for each image that contains many information such as: the subject ID, facial landmarks, face and glasses rectangles, gender and age labels, year that the photo was taken, facial emotion, glasses type, and more.

《面部规格》（SoF）数据集，收录了112位（其中66位男性，46位女性）在不同光照条件下佩戴眼镜的42,592张（2,662×16）图像。该数据集免费供合理学术公平使用。该数据集提出了关于人脸检测和识别的新挑战。其聚焦于两大挑战：恶劣的光照环境和面部遮挡，这两者极大地影响了人脸检测、识别和分类。眼镜是该数据集中所有图像中常见的自然遮挡物。然而，每张图像还增加了两个合成遮挡物（鼻部和嘴部）。此外，对每张图像应用了三种可能规避人脸检测器和面部识别系统的图像过滤器。所有生成的图像被划分为三个难度级别（简单、中等和困难），从而使得图像总数增至42,592张（其中26,112张为男性图像，16,480张为女性图像）。每张图像都有元数据，包含多种信息，例如：主题ID、面部特征点、面部和眼镜的矩形框、性别和年龄标签、拍照年份、面部表情、眼镜类型等。