Sentiment analysis from fascial image:

Abstract

Now-a-days Face recognition system has become faster form of biometric system. It is a object detection system which is capable of recognizing face technically from digital image. Here in this paper, I used the latest version of YOLO algorithm that is YOLOv8 which is very capable of detecting real time object detection to detect multiple emotion of human faces in a single digital image. The purpose of this study is to find out how YOLOv8 can perform real time face detection accurately. Here I used four type of emotion of human face : happy, sad, angry and confused. For this study, dataset made from raw images taken from various people and annotated them and made dataset. Total of 209 images are used to make the dataset to achieve the accuracy. This study shows how accurately YOLOv8 works to perform real time face detection