HFRD: Human Face Recognition Datasets on COVID-2019 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 are 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-2019 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-2019.