Facial Masks and Respirators Database (FMR-DB)

Recently, the coronavirus pandemic has made the use of facial masks and respirators common, the former to reduce the likelihood of spreading saliva droplets and the latter as Personal Protective Equipment (PPE). As a result, this caused problems for the existing face detection algorithms. For this reason, and for the implementation of other more sophisticated systems, able to recognize the type of facial mask or respirator and to react given this information, we created the Facial Masks and Respirators Database (FMR-DB).The database consists of 2565 images taken from the Internet, divided into the following main classes:With Facial Mask or RespiratorDisposable Respirators With Valve Disposable Respirators Without Valve Full-Face RespiratorsHalf-Face Respirators Non-Medical MasksSurgical MasksWithout Facial Mask or RespiratorWith OcclusionsHands On MouthHatsNeck Warmers And BandanasSunglassesWithout OcclusionsImages depicting people wearing a mask or a respirator also have a classification on the additional protective clothing worn: eye protection, head protection or both. The images depicting people wearing disposable respirators are also classified according to the respirator protection class.This dataset was recently presented and tested in the "Recognizing the Type of Mask or Respirator Worn Through a CNN Trained with a Novel Database" paper at the 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). You can find it at this link: https://dx.doi.org/10.1109/COMPSAC51774.2021.00221

近期，新冠疫情的爆发使得面部口罩和呼吸器的使用变得普遍，前者用于降低唾液飞溅传播的可能性，而后者作为个人防护装备（PPE）。因此，这给现有的面部检测算法带来了问题。鉴于这一原因，以及为了实施能够识别面部口罩或呼吸器类型并能根据此类信息做出反应的更复杂系统，我们创建了面部口罩和呼吸器数据库（FMR-DB）。该数据库由2565张从互联网上收集的图片组成，分为以下主要类别：佩戴面部口罩或呼吸器、一次性带阀呼吸器、一次性无阀呼吸器、全脸呼吸器、半脸呼吸器、非医用口罩、外科口罩、未佩戴面部口罩或呼吸器、遮挡物、手捂嘴、帽子、围巾和头巾、太阳镜、无遮挡物。描绘佩戴口罩或呼吸器的人物的图像还根据所穿附加防护服的分类进行了标注：眼部防护、头部防护或两者兼具。描绘佩戴一次性呼吸器的人物的图像也根据呼吸器防护等级进行了分类。该数据集最近在2021年第45届IEEE年度计算机、软件和应用会议（COMPSAC）的论文“通过使用新数据库训练的卷积神经网络识别佩戴的口罩或呼吸器类型”中进行了展示和测试。您可以通过以下链接获取该论文：https://dx.doi.org/10.1109/COMPSAC51774.2021.00221