The Neural Network Models Effectiveness for Face Detection and Face Recognition
Kirill Smelyakov, Anastasiya Chupryna, Oleksandr Bohomolov, Nikita Hunko
Abstract
The paper is devoted to estimation of the effectiveness of the use of modern convolutional neural networks for face detection and face recognition. On standard and custom datasets, learning of neural networks and comparison of the effectiveness of their functioning are carried out. An algorithm and recommendations are proposed regarding the practical application of the neural networks for detecting faces on digital photographs.
Topics & Concepts
Computer scienceConvolutional neural networkFacial recognition systemFace (sociological concept)Artificial intelligenceArtificial neural networkFace detectionPattern recognition (psychology)Machine learningNeocognitronDeep learningTime delay neural networkSpeech recognitionSocial scienceSociologyAdvanced Computational Techniques in Science and EngineeringAdvanced Scientific Research MethodsEngineering Technology and Methodologies