Object Recognition using Deep Convolutional Neural Network
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-3 |
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| Year of Publication : 2019 | ||
| Authors : Ali Razaa, Qian Yurong | ||
| DOI : 10.14445/22312803/IJCTT-V67I3P122 |
MLA Style: Ali Razaa, Qian Yurong "Object Recognition using Deep Convolutional Neural Network" International Journal of Computer Trends and Technology 67.3 (2019): 113-118.
APA Style:Ali Razaa, Qian Yurong (2019). Object Recognition using Deep Convolutional Neural Network. International Journal of Computer Trends and Technology, 67(3), 113-118.
Abstract
Recognizing an object in an image is one of the principle difficultiesof PC visionframeworks becauseofthe varieties that each item or the particularpicture, where the object is indicated, could have like the enlightenment or perspective. Deep Neural Networks (DNNs) have recently revealedexceptionalexecution on picture classification tasks [14]. In a recent paper, we go one step further and identifythe issue of object detection utilizing DNNs that isn’t only classifying but also precisely localizing objects of differentperiods. We present a simple and yet powerful formulation of object identification as a regression issue to object bounding box masks. We characterize a multi-scale deduction system which can create high-resolution object detections at a low cost by a few network applications. Best in class execution of the methodology is appeared on Pascal VOC.
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Keywords
Database, Benchmark, Object recognition, DNN.