Image Emotion Dataset

Image Emotion Dataset



Meghana Ayyalasomayajula


Presentation: 1:40 p.m.-2:00 p.m., Kennedy Union 211

This project reflects research conducted as part of a course project designed to give students experience in the research process.

Course: CPS 595



This research aims to identify the harmony between human emotions (through facial expressions) and annotated emotions (the emotion associated with the image). This work can benefit different applications such as child development, rehabilitation centers, and others. In this work, we mainly focus on the data collection and annotation. We first collect a dataset of natural scenes based on the keywords and the compilation of existing datasets. We then integrate the facial expression recognition component, to capture the user's expression during the data annotation. Then, we evaluate the harmony between the annotated emotions vs. the recorded human expressions.

Publication Date


Project Designation

Course Project

Primary Advisor

Van Tam Nguyen

Primary Advisor's Department

Computer Science


Stander Symposium project, College of Arts and Sciences

United Nations Sustainable Development Goals

Good Health and Well-Being; Quality Education

Image Emotion Dataset