Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10181
Title: Saliency Guided Faster R-CNN for object detection and Recognition
Authors: Kumar, Gulshan
Sharma, Vipul [Guided by]
Keywords: Object detection
Neural network
Machine learning
Deep learning
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: The major purpose of our project to dectect object using faster R-CNN to develop a technique for programmed object finding and counting on throughways. Our method does not rely on foundation; rather, it employs a channel through which we identify and count the cars, record a video or a photograph, and then make a decision to give the total number of object. The purpose of this approach is to create a superior object detector structure inside the project for smoother detection of object flow and to increase a overall efficiency.
Description: Enrollment No. 191341
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10181
Appears in Collections:B.Tech. Project Reports

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