Students' Abnormal Behavior Detection in Online Exam "Distance Learning Assessments" Image Dataset

The Student Behavioral Dataset is a collection of labeled images created to analyze and detect abnormal student behavior during online assessments. The images reflect five student behaviors: "mobile using, hand moving, eye moving, mouth opening, and looking sideways." A lecturer, Muhanad Abdul Elah Alkhalisy, created this dataset with the help of a group of students at the University of Information Technology and Communications and the Iraqi Commission for Computer and Informatics/Informatics Institute for Postgraduate Studies for research purposes. The dataset has the YOLO DarkNet53 COCO dataset labeled Format.