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Automatic multi-style egyptian license plate detection and classification in high-resolution videos using deep learning methods / Marwa Mohamed Mohsen Mohamed Monier Elnashar ; Supervised Magda B. Fayek

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Marwa Mohamed Mohsen Mohamed Monier Elnashar , 2020Description: 57 P. : charts , facsimiles ; 30cmOther title:
  • تحديد و تصنيف اللوحات المعدنية للمركبات المصرية بإستخدام تقنيات التعليم المتعمق [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: This thesis presents state of art of deep learning methods to detect and classify Multi-style Egyptian car license using state of the art Yolo object detection followed by Siamese network or multi-task learning methods for classifying the most fourcommondifferent classes of Egyptian license plates with its two main categoriesstandard and non-standard Egyptian license plates
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2020.Ma.A (Browse shelf(Opens below)) Not for loan 01010110083067000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2020.Ma.A (Browse shelf(Opens below)) 83067.CD Not for loan 01020110083067000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

This thesis presents state of art of deep learning methods to detect and classify Multi-style Egyptian car license using state of the art Yolo object detection followed by Siamese network or multi-task learning methods for classifying the most fourcommondifferent classes of Egyptian license plates with its two main categoriesstandard and non-standard Egyptian license plates

Issued also as CD

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