Assessment of Object Detection Using Deep Convolutional Neural Networks

Ajeet Ram Pathak; Manjusha Pandey; Siddharth Swarup Rautaray; Karishma Pawar

doi:10.1007/978-981-10-7245-1_45

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Assessment of Object Detection Using Deep Convolutional Neural Networks

Ajeet Ram Pathak Manjusha Pandey Siddharth Swarup Rautaray Karishma Pawar

Year: 2018 Advances in intelligent systems and computing Pages: 457-466 Publisher: Springer Nature

DOI: 10.1007/978-981-10-7245-1_45

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Keywords:

Convolutional neural network Artificial intelligence Computer science Deep learning Object detection Pascal (unit) Automation Cognitive neuroscience of visual object recognition Machine learning Feature extraction Pattern recognition (psychology) Artificial neural network Contextual image classification Computer vision Image (mathematics) Engineering

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Assessment of Object Detection Using Deep Convolutional Neural Networks

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