Facial Emotion Detection Dataset

Alameer, Ali

Abstract

The Facial Emotion Detection Dataset is a collection of images of individuals with two different emotions - happy and sad. The dataset was captured using a mobile phone camera and contains photos taken from different angles and backgrounds.

The dataset contains a total of 637 photos with an additional dataset of 127 from previous work. Out of the total, 402 images are of happy faces, and 366 images are of sad faces. Each individual had a minimum of 10 images of both expressions.

The project faced challenges in terms of time constraints and people's constraints, which limited the number of individuals who participated. Despite the limitations, the dataset can be used for deep learning projects and real-time emotion detection models.

Future work can expand the dataset by capturing more images to improve the accuracy of the model. The dataset can also be used to create a custom object detection model to evaluate other types of emotional expressions.

• Online Publication Date: May 5, 2023
• Publication Date: May 5, 2023
• Deposit Date: Jan 23, 2025
• DOI: https://doi.org/10.17866/rd.salford.22495669.v1
• Publisher URL: https://salford.figshare.com/articles/dataset/Facial_Emotion_Detection_Dataset/22495669
• Collection Date: May 5, 2023