Review Article
Volume 2 Issue 1
Prasanth Vaidya S* Chandra Mouli PVSSR and Ravi Kishore V
December 24, 2022
DOI : 10.56831/PSEN-02-023
Abstract
ML has grown in popularity over the previous decade as a result of strong computers that can process large amounts of data in a reasonable length of time. A well-known problem in Machine Learning is the Dog breed classifier. The issue is determining a dog’s breed. The input can be a dog or a human image, and the proposed algorithm should be able to forecast the dog’s breed or, if the human is a dog, which breeds it belongs to. For human face detection, OpenCV is utilised, while for dog face detection, the VGG16 model is employed. With the ResNet101 architecture, a convolutional neural network is utilized for classification. On test data, the final model had an accuracy of 81 percent.
Keywords: Face Recognition; Face Detection; Security; Authentication