CNN-based YOLOv3 comparison for underwater object detection / Mohamed Syazwan Asyraf …[et al.]
Object detection that deals with identifying and locating object is one of area that integrate from the advance- ment in machine learning and computer vision. Modern object detection which carried out supervised learning utilizes Convo- lutional Neural Network (CNN) as the backbone of the detection...
Saved in:
Main Authors: | Asyraf, Mohamed Syazwan, Isa, Iza Sazanita, Marzuki, Mohd Ikhmal Fitri, Sulaiman, Siti Noraini, Hung, Chin Chang |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Teknologi MARA
2021
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/47324/1/47324.pdf http://ir.uitm.edu.my/id/eprint/47324/ https://jeesr.uitm.edu.my |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fabrication and optimization of chloride sensor based on ZnO nanostructure / Nur Azyan Mohamad Arifin
by: Mohamad Arifin, Nur Azyan
Published: (2013) -
Cell phone detector / Azrie Adl Abu Bakar & Alif Syazwan Hasban
by: Bakar, Azrie Adl, et al.
Published: (2015) -
Home fire detection notification via telegram bot / Muhammad Syazmi Hafiz Shaharin
by: Shaharin, Muhammad Syazmi Hafiz
Published: (2020) -
Automatic cloth hanger / Muhammad Asyraf Syafiq Mohd Sufian & Muhammad Arif Aminon
by: Mohd Sufian, Muhammad Asyraf Syafiq, et al.
Published: (2015) -
Development of a portable fiber optic sensor prototype for pesticides residue measurement / Khairul Anuar Shafie
by: Shafie, Khairul Anuar
Published: (2008)