Object Detection using Machine Learning: A Survey (Record no. 13869)
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| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20201222113145.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201222b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 12861 |
| Author | Hegde, Rahul |
| 245 ## - TITLE STATEMENT | |
| Title | Object Detection using Machine Learning: A Survey |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.5(2)0, Jul-Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | Journals Pub |
| Year | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 7-11p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Computer vision techniques have become increasingly popular in the modern era. One of the applications of computer vision is in the detection of object in an image or video. In object detection a target object is detected, localized and labelled based on the type of object. Real time detection of objects in harsh environments, accuracy and speed are some of the major challenges in computer vision technology. A variety of algorithms have been proposed and implemented for the detection of objects and tracking of objects. In this paper an attempt is made to discuss and compare a few of the algorithms for object detection namely, You Only Look Once (YOLO), Region Convolution Neural Networks R-CNN and Viola-Jones. Detection of plastic waste and maritime life underwater by means of a Remote Operated Vehicle is the focus of object detection in this paper. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4619 |
| Topical term or geographic name entry element | EXTC Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 12862 |
| Co-Author | Patel, Sanobar |
| 773 0# - HOST ITEM ENTRY | |
| Title | International journal of embedded systems and emerging technologies |
| Place, publisher, and date of publication | New Delhi Journals pub |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | http://ecc.journalspub.info/index.php?journal=JESET&page=article&op=view&path%5B%5D=1138 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 22/12/2020 | 2020-2021186 | 22/12/2020 | 22/12/2020 | Articles Abstract Database |