YOLOv5 Deep Neural Network for Quince and Raspberry Detection on RGB Images
Object detection based on deep learning can be widely used in all kinds of agricultural applications. In this paper, we present a deep neural network (DNN) model for quince and raspberry detection on RGB images. The trained DNN model is based on YOLOv5 architecture and it has 7 berry classes related...
Saved in:
Published in | 2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) pp. 19 - 22 |
---|---|
Main Authors | , , , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
05.10.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!