Exploration of The Impact of Kernel Size for YOLOv5-based Object Detection on Quadcopter

Exploration of The Impact of Kernel Size for YOLOv5-based Object Detection on Quadcopter

Drones or quadcopters have been widely used in various fields based on deep learning, especially object detection. However, drone vision characteristics such as occlusion and small objects are still being explored for performance in terms of accuracy and speed detection. The YOLO architecture is ver...

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Bibliographic Details
Main Authors: Rissa Rahmania, Felix Corputty, Suryo Adhi Wibowo, Dany Eka Saputra, Annisa Istiqomah
Format: Article
Language:English
Published: Politeknik Negeri Padang 2022-09-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
yolov5
object detection
kernel size
quadcopter
deep learning.
Online Access:https://joiv.org/index.php/joiv/article/view/898

Internet

https://joiv.org/index.php/joiv/article/view/898

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