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Deep Learning and Object Detection.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep Learning and Object Detection./
作者:	Παπαγεωργίου, Θεόδωρος.
面頁冊數:	1 online resource (41 pages)
附註:	Source: Masters Abstracts International, Volume: 84-03.
Contained By:	Masters Abstracts International84-03.
標題:	Neurons. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29295924click for full text (PQDT)
ISBN:	9798845732767

Deep Learning and Object Detection.
Παπαγεωργίου, Θεόδωρος.

Deep Learning and Object Detection. - 1 online resource (41 pages)

Source: Masters Abstracts International, Volume: 84-03.

Thesis (Master's)--University of Piraeus (Greece), 2022.

Includes bibliographical references

The rise of COVID-19 disease came up with new restrictions in everyday life, like quarantine, social distancing, wearing face masks and more. In the current diploma thesis object detection algorithms are applied on image and video data in order to detect if a person wears or not a face mask as a preventative measure against the spread of COVID-19 disease. More specifically, in this dissertation a comparative study was conducted between one-stage detectors YOLOv3, YOLOv4 and YOLOv5 on an RGB image dataset, which consists of 1694 images and 7791 labels. The performance of YOLOv5 model is the best one between the three models.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845732767Subjects--Topical Terms:

588699
Neurons.
Index Terms--Genre/Form:

542853
Electronic books.

Deep Learning and Object Detection.
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245 1 0 $a Deep Learning and Object Detection.
264 0 $c 2022
300 $a 1 online resource (41 pages)
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500 $a Source: Masters Abstracts International, Volume: 84-03.
500 $a Advisor: Φιλιππάκης, Μιχαήλ; Filippakis, Michael.
502 $a Thesis (Master's)--University of Piraeus (Greece), 2022.
504 $a Includes bibliographical references
520 $a The rise of COVID-19 disease came up with new restrictions in everyday life, like quarantine, social distancing, wearing face masks and more. In the current diploma thesis object detection algorithms are applied on image and video data in order to detect if a person wears or not a face mask as a preventative measure against the spread of COVID-19 disease. More specifically, in this dissertation a comparative study was conducted between one-stage detectors YOLOv3, YOLOv4 and YOLOv5 on an RGB image dataset, which consists of 1694 images and 7791 labels. The performance of YOLOv5 model is the best one between the three models.
520 $a Η εξάπλωση της νόσου COVID-19 είχε ως αποτέλεσμα την επιβολή μέτρων προστασίας στην καθημερινή ζωή, όπως η καραντίνα, η κοινωνική απομάκρυνση, η χρήση μάσκας προστασίας και άλλα. Στην παρούσα διπλωματική εργασία εφαρμόστηκαν αλγόριθμοι ανίχνευσης αντικειμένου σε δεδομένα εικόνων και βίντεο με σκοπό να εντοπίσουν εάν ένα άτομο φοράει ή όχι μάσκα προστασίας σαν προληπτικό μέτρο κατά της εξάπλωσης της νόσου COVID-19. Συγκεκριμένα, στην παρούσα εργασία διεξάχθηκε συγκριτική μελέτη μεταξύ των ανιχνευτών ενός επιπέδου YOLOv3, YOLOv4 και YOLOv5 σε ένα σύνολο δεδομένων εικόνων RGB, το οποίο αποτελείται από 1694 εικόνες και 7791 ετικέτες. Την καλύτερη επίδοση μεταξύ των τριών μοντέλων είχε το μοντέλο YOLOv5.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Neurons. $3 588699
650 4 $a Deep learning. $3 3554982
650 4 $a Back propagation. $3 3681810
650 4 $a Sensors. $3 3549539
650 4 $a Neural networks. $3 677449
650 4 $a Maps. $3 544078
650 4 $a Brain. $3 525115
650 4 $a Confidence. $3 682645
650 4 $a Boxes. $3 3564918
650 4 $a Natural language processing. $3 1073412
650 4 $a Algorithms. $3 536374
650 4 $a Localization. $3 3560711
650 4 $a Feedback. $3 677181
650 4 $a Masks. $3 546499
650 4 $a Computer science. $3 523869
650 4 $a Physics. $3 516296
650 4 $a Statistics. $3 517247
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0800
690 $a 0984
690 $a 0605
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710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Piraeus (Greece). $3 3690333
773 0 $t Masters Abstracts International $g 84-03.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29295924 $z click for full text (PQDT)
880 1 $6 100-01/(S $a Papageorgiou, Theodoros.