OBJECT DETECTION USING DEEP LEARNING
Author(s):
PRASHUL JAIN, ANSHUL CHATTERJEE, ROHIT GUPTA, SAGAR BALPANDE, JOGI JOHN, SAMIKSHA RAUT
ISSN:
2349-6002
Cite This Article:
OBJECT DETECTION USING DEEP LEARNINGInternational Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 5 ,Issue 10 ,Page(s):498-501 ,March 2019 ,Available :IJIRT147777_PAPER.pdf
Keywords:
deep learning, faster r-cnn, object detection, convnet, neural network
Abstract
This paper deals with the field of computer vision, mainly for the application of deep learning in object detection task. On the one hand, there is a simple summary of the datasets and deep learning algorithms commonly used in computer vision. On the other hand, a new dataset is built according to those commonly used datasets, and choose one of the networks called faster r-cnn to work on this new dataset. Through the experiment to strengthen the understanding of these networks, and through the analysis of the results learn the importance of deep learning technology, and the importance of the dataset for deep learning.
Article Details
Unique Paper ID: 147777

Publication Volume & Issue: Volume 5, Issue 10

Page(s): 498 - 501
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