YOLO Performance Comparison on Stock Images of Grocery Products
This paper compares the classification performance of the YOLO models in the cases where the input data is limited or purely generated from stock images. For this purpose, YOLOv5n, YOLOv5s, YOLOv8n, and YOLOv8s were trained to classify stock images into 219 categories of grocery products.
Authors
- Vladimir Dimitrov Hristov (ORCID: https://orcid.org/0000-0002-1613-2177)
- Aykut Ismailov
Institutions
- Technical University of Sofia (BG)
Publication Details
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1109/telecom63374.2024.10812185
- Citations
- 2
- Primary Topic
- Global Trade and Competitiveness
- Type
- article
- Field-Weighted Citation Impact
- 1.11