Chen, Jiaxiang (2025) Object Detection Using AutoML and YOLO: A Comparative Analysis of EasyDL, YOLOv8, and YOLOv10. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.
71859.pdf
Download (1MB)
Abstract
Object detection technology has been applied in multiple fields, and compared to traditional methods, using AutoML to complete object detection tasks may be more convenient and less labor-intensive. This study focuses on the performance of object detection models, comparing the AutoML platform EasyD
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 18:27 |
| Last Modified: | 16 Apr 2026 21:38 |
| URI: | http://eprints.eai.eu/id/eprint/52539 |
