Study on Object Detection Using Deep Learning Models

ANUJ KUMAR YADAV; DR. NARESH CHAUHAN

Study on Object Detection Using Deep Learning Models

Authors: ANUJ KUMAR YADAV, DR. NARESH CHAUHAN

Unique Paper ID: 155378
Volume: 8
Issue: 10
PageNo: 78-83

Keywords: Object Detection Computer Vision Deep Learning Neural Networks.

Abstract:
Object Detection is a technique related to detecting objects an object of a certain class (such as a person, building, or car) in digital images or videos. The machine will process the image or video and will produces output for each detected object along with the appropriate label with classes. The engine will also display a bounding box on the detected object and will display the accuracy value of detection. However, this study evaluates the various models used in object detection using Deep Learning Techniques. Therefore, as per various researches in past and adhered the scheme observed that the Convolution Neural Networks is an effective model to identify object's accurately and swiftly.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 10
PageNo: 78-83

Study on Object Detection Using Deep Learning Models

Available:https://ijirt.org/Article?manuscript=155378

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