Object Detection Using AutoML and YOLO: A Comparative Analysis of EasyDL, YOLOv8, and YOLOv10

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

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354621
Primary Topic
COVID-19 diagnosis using AI
Type
article
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article

Object Detection Using AutoML and YOLO: A Comparative Analysis of EasyDL, YOLOv8, and YOLOv10

Jiaxiang Chen
COVID-19 diagnosis using AI
article

Object Detection Using AutoML and YOLO: A Comparative Analysis of EasyDL, YOLOv8, and YOLOv10

Jiaxiang Chen
article en

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

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COVID-19 diagnosis using AI
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Object Detection Using AutoML and YOLO: A Comparative Analysis of EasyDL, YOLOv8, and YOLOv10 — Jiaxiang Chen · (2025) | TGRS Research Map | TGRS