Multi-Face Recognition Using CNN for Attendance System

Sanivarapu, Prasanth Vaidya

doi:10.1007/978-981-15-7106-0_31

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Convolutional Neural Network1

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2022

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Cited by 8 publications

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“…A Convolutional Neural Network (CNN) is a Deep Learning algorithm that can take an input image, give relevance (learnable weights and biases) to various aspects/objects in the image, and distinguish between them [12,10]. The accuracy of the CNN model constructed from scratch must be at least 10%.…”

Section: Convolutional Neural Networkmentioning

confidence: 99%

A novel Dog Breed Identification using Convolutional Neural Network

2022

PSEN

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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.

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Section: Convolutional Neural Networkmentioning

confidence: 99%