Face Mask Detection Video Dataset

Face Mask detection using machine intelligence is one of the hot topic during the COVID-19 period. Variety of works are introduced to identify the policy violators in busy places however, the available image datasets are limited to build a generalized model that can be used in real-time applications with coarse-to-fine video frames. We present a real-time video/images dataset containing multiple subjects (with/without mask) walking within a University environment. Each annotated frame contains multiple instances (i.e. persons) with unique identifications, bounding boxes, and class/label information. The dataset and annotations can be used to train, validate and test the deep learning and computer vision based facial mask detection algorithms. Below are the details of dataset: Total video frames: 4357 Total bounding boxes: 21941 Boxes with Mask (MW): 8306 Boxes without Mask (NM): 13635 Image frames: This folder contains 4357 video frames (.png). Each frame contains multiple instances. Annotations: This folder contains the 4357 annotations (.xml) files for the above Image frames. Each .XML contains information about: Person ID: Unique identification for each person in a frame Bounding Box: The rectangular boundary around the person Class Names: Mask (MW), no Mask (NM) NOTE: Instances with mask and facing towards the camera are only labelled as being mask wearer (MW). All other subjects (i.e. instances) facing opposite to camera (i.e. backside towards the capturing device) are labelled as NM (i.e. without mask).基于机器学习智能的口罩检测是COVID-19疫情期间的热门研究方向之一。此前已有多项研究致力于识别公共场所违反防疫政策的人员，但现有的图像数据集难以支撑构建可适配实时应用、支持从粗到细处理视频帧的通用模型。 本研究提出了一套适用于实时场景的视频/图像数据集，采集自大学校园环境，包含多名在校园中行走的佩戴/未佩戴口罩的行人。每帧标注图像均包含多个带有唯一标识、边界框（bounding box）以及类别标签信息的个体实例。该数据集与标注信息可用于训练、验证与测试基于深度学习与计算机视觉的口罩检测算法。数据集详情如下： 总视频帧数：4357 总边界框（bounding box）数量：21941 佩戴口罩的边界框（MW）：8306 未佩戴口罩的边界框（NM）：13635 图像帧文件夹：该文件夹包含4357个视频帧（.png格式），每帧均包含多个个体实例。 标注文件文件夹：该文件夹包含对应上述4357张图像帧的4357个标注文件（.xml格式）。每个XML文件包含以下信息： - 个体ID：单帧内每个行人的唯一标识 - 边界框（bounding box）：包裹行人的矩形边界区域 - 类别名称：佩戴口罩（MW）、未佩戴口罩（NM） 注意：仅当个体佩戴口罩且正对拍摄镜头时，才会被标注为佩戴口罩者（MW）。所有背对拍摄设备（即面部朝向与拍摄方向相反）的个体均被标注为未佩戴口罩（NM）。