Image sorting using object detection and face recognition

Abstract

The requirement of the user is to quickly organize their images while doing little work. To achieve this we have implemented image sorting and grouping using three techniques; Object detection, face recognition and face detection. Face detection is acheived using Haar cascade classifier, whereas face recognition is done using LBPH algorithm. Object detection uses a deep learning method called as YOLO algorithm. Keywords: Adaboost, Machine learning, Deep learning, Categorize, Object detection, Face detection, Face recognition, Convolution Neural Network(CNN).