Object detection using machine learning applications (Record no. 6540)

MARC details
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fixed length control field 01240nam a22002057a 4500
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control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122852.0
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fixed length control field 190704b xxu||||| |||| 00| 0 eng d
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Transcribing agency IIITMK
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Personal name Vidhya V P (92217026)
9 (RLIN) 16046
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Title Object detection using machine learning applications
300 ## - PHYSICAL DESCRIPTION
Extent MSC DA 2017-2019
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General note Object detection involves detecting instances of objects from a particular class<br/>in an image.The goal of object detection is to detect all instances of objects<br/>from a known class, such as people, cars or faces in an image. Typically only<br/>a small number of instances of the object are present in the image, but there<br/>is a very large number of possible locations and scales at which they can occur<br/>and that need to somehow be explored.Object Detection can be done via multiple<br/>ways:Feature-Based Object Detection,Viola Jones Object Detection,SVM<br/>Classications with HOG Features,Deep Learning Object Detection.Here object<br/>detection using deep learning is used.
502 ## - DISSERTATION NOTE
Degree type MSC DA
Name of granting institution 2017-2019
Year degree granted INT
-- Dr Manoj Kumar T K
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element OBJECT DETECTION
9 (RLIN) 16047
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Topical term or geographic name entry element IMAGE CLASSIFICATION
9 (RLIN) 16048
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Topical term or geographic name entry element DEEP LEARNING
9 (RLIN) 16049
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Topical term or geographic name entry element MACHINE LEARNING
9 (RLIN) 16050
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Koha item type
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    Dewey Decimal Classification     IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   04/07/2019   R-1565 04/07/2019 04/07/2019 Project Reports