OBJECT RECOGNITION USING IMAGE PROCESSING AND DEEP LEARNING IN MATLAB”

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dc.contributor.authorCHANDRASHEKHAR K R
dc.contributor.authorDEEPAK S
dc.contributor.authorHEMANTH KUMAR B R
dc.date.accessioned2019-06-17T11:31:57Z
dc.date.available2019-06-17T11:31:57Z
dc.date.issued2019-06-17T11:31:57Z
dc.description.abstractObject recognition is a computer vision technique for identifying objects in images or videos. Object recognition is a key output of deep learning and machine learning algorithms. When humans look at a photograph or watch a video, we canreadily spot people, objects, scenes, and visual details. The goal is to teach a computer to do what comes naturally to humans: to gain a level of understanding of what an image contains. Object recognition is a key technology behind driverless cars, enabling them to recognize a stop sign or to distinguish a pedestrian from a lamppost. It is also useful in a variety of applications such as disease identification in bio imaging, industrial inspection, and robotic vision.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/10473
dc.language.isoenen_US
dc.subject1NH15EC014en_US
dc.subject1NH15EC016en_US
dc.subject1NH15EC028en_US
dc.titleOBJECT RECOGNITION USING IMAGE PROCESSING AND DEEP LEARNING IN MATLAB”en_US
dc.typeOtheren_US
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