Real-Time KenalKayu System with YOLOv3
An automated tropical wood species recognition system known as KenalKayu has been developed by the Centre for Artificial Intelligence & Robotics (CAIRO) to identify the tropical wood species. The system works very well in offline mode with an accuracy rate of up to 98. But when it comes to real-...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Published: |
Springer Science and Business Media Deutschland GmbH
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/35905/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104453117&doi=10.1007%2f978-3-030-70917-4_22&partnerID=40&md5=7333c1a5daaddb082e0b698d9f3cc1af |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|