YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection
The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint. As automated pallet racking via machine vision is a developing field, the procur...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2023-06-01
|
| Edice: | Big Data and Cognitive Computing |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/2504-2289/7/2/120 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|