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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Volume 8 | Issue 1

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Paper Title: Classification and identification of object in an image
Authors Name: Krushitha ss , Akshay manjunath naik , Hariprasad N , Jeevan C V , Manjesh R
Unique Id: IJSDR2006001
Published In: Volume 5 Issue 6, June-2020
Abstract: Objection detection is a key problem in computer vision. We report our work on object detection using neural network and other computer vision features. Artificial neural networks have been proved to be the best and the most used solution for image classification and object detection tasks. Paper analyzes them as a tool that significantly improves the mentioned, very complicated computational calculations. In the paper there is a brief history of their development as well as the selected object detector that we used for our introductory experiment that is shown later in the paper. Also, there is introduced the idea of the future research that is going to be based on the conducted experiment and which is going to involve a new methodology for an automated generation of new domain-specific datasets that are essential in the training phase of the neural networks. We are able to achieve real-time performance and satisfactory matching results.
Keywords: Artificial neural network, Image classification, Object detection, Dataset, Pattern recognition, Computer vision, Machine learning.
Cite Article: "Classification and identification of object in an image", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 6, page no.1 - 6, June-2020, Available :http://www.ijsdr.org/papers/IJSDR2006001.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR2006001
Registration ID:191770
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier):
Page No: 1 - 6
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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