Study on Object Detection Using Deep Learning Models

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Study on Object Detection Using Deep Learning Models
Author(s):
ANUJ KUMAR YADAV, DR. NARESH CHAUHAN
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.
Article Details
Unique Paper ID: 155378 Publication Volume & Issue: Volume 8, Issue 10 Page(s): 78 - 83
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