HFRD: Human Face Recognition Datasets on COVID-19 pandemic stage (v2020)

The HFRD (v2020) dataset includes 4835 images of masked human faces. Originally, the faces were taken from three different publicly available datasets: MUCT, FASSEG, and AT&T datasets. The collected subsets of the HFRD dataset contain standard images that are previously used in the field of facial recognition, and then we added masks to cover the nose, mouth, and chin area, as for what remains visible from the face are the eyes, forehead, and hair. Thus, we have introduced new standard images for use in the field of partial facial recognition (PFR) domain. The new structure of the current HFRD store inherits the structure of each original dataset, which means there are three main datasets: MaskedMUCT contains five folders, MaskedFASSEG contains four folders, and MaskedAT&T has organized in 40 folders. This store of HFRD masked face datasets is not only inheriting the structure of the original datasets but also inheriting the varsity of them. Finally, all folders consist of facial images surrounded and covered by various shapes of masks. Consequently, the proposed new enhanced HFRD datasets have been developed based on the impact of the pandemic COVID-19 stage. Our enhanced improved Human Face Recognition Datasets (HFRD) datasets could be used to test studies of FR algorithms for human identification. The obtained outcomes from this enhanced HFRD data can also be useful in providing more knowledge for the Artificial Intelligence (AI) tools, and decision support system for predicting the spread of COVID-19.HFRD (v2020) 数据集包含4835张佩戴口罩的人脸图像。原始人脸数据源自三个公开可用的数据集：MUCT、FASSEG以及AT&T数据集。该HFRD数据集的采集子集包含此前在人脸识别领域中使用过的标准图像，随后我们通过添加口罩覆盖鼻子、嘴巴和下巴区域，仅保留眼部、额头与头发区域的人脸可见部分。由此，我们为部分人脸识别（Partial Facial Recognition, PFR）领域构建了全新的标准图像数据集。当前HFRD存储库的新结构继承了各原始数据集的结构，具体包含三个主要数据集：MaskedMUCT包含5个文件夹，MaskedFASSEG包含4个文件夹，MaskedAT&T则分为40个文件夹。该HFRD口罩人脸数据集存储库不仅继承了原始数据集的结构，同时也保留了其多样性。所有文件夹内的人脸图像均被各类形状的口罩环绕覆盖。本研究基于新冠疫情（COVID-19）背景开发了升级后的HFRD数据集。这款改进后的人脸识别（Human Face Recognition Datasets, HFRD）数据集可用于测试人脸识别算法的人类身份识别研究。通过该升级后的HFRD数据集得到的实验结果，还可为人工智能（Artificial Intelligence, AI）工具提供更多技术参考，并可用于构建预测新冠疫情传播的决策支持系统。