@article{ART003152712},
author={Namil Kang and Yechan Cha and Bo-Young Kim and Jihoon Moon},
title={Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={12},
pages={1-11}
TY - JOUR
AU - Namil Kang
AU - Yechan Cha
AU - Bo-Young Kim
AU - Jihoon Moon
TI - Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 12
PB - The Korean Society Of Computer And Information
SP - 1
EP - 11
SN - 1598-849X
AB - In this study, we present a comparative analysis of two state-of-the-art object detection models, RT-DETR and YOLOv8, for real-time egg defect detection. As the global demand for eggs continues to rise, ensuring their quality and safety is paramount for mitigating health risks and addressing food safety concerns. The models were employed to analyze transillumination images of eggs and classify them into six distinct categories: Normal, Crack, Blood Spot, Discoloration, Foreign Body, and Deformation. A dataset comprising 11,000 egg images provided by AI-Hub was utilized, with a train-validation-test split ratio of 9:1:1 to conduct the experiments. The performance of the models was assessed based on two key metrics: detection accuracy and inference speed. For RT-DETR, two variants (r18 and r50) were trained, while YOLOv8 involved the training of three variants (nano, medium, and large). The evaluation results indicated that the RT-DETR-r50 model demonstrated superior accuracy, achieving a mean Average Precision (mAP) of 0.852 (mAP@0.5) at an IoU threshold of 0.5 and 0.851 (mAP@0.5:0.95) across multiple IoU thresholds. Conversely, the YOLOv8n model exhibited exceptional speed, with an average inference time of 0.0021 seconds per image. These findings emphasize the trade-off between accuracy and inference speed, providing critical insights into the development of efficient quality control systems for egg production facilities.
KW - Computer Vision;Egg Defect Detection;RT-DETR;YOLOv8;Real-Time Detection
DO -
UR -
ER -
Namil Kang, Yechan Cha, Bo-Young Kim and Jihoon Moon. (2024). Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints. Journal of The Korea Society of Computer and Information, 29(12), 1-11.
Namil Kang, Yechan Cha, Bo-Young Kim and Jihoon Moon. 2024, "Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints", Journal of The Korea Society of Computer and Information, vol.29, no.12 pp.1-11.
Namil Kang, Yechan Cha, Bo-Young Kim, Jihoon Moon "Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints" Journal of The Korea Society of Computer and Information 29.12 pp.1-11 (2024) : 1.
Namil Kang, Yechan Cha, Bo-Young Kim, Jihoon Moon. Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints. 2024; 29(12), 1-11.
Namil Kang, Yechan Cha, Bo-Young Kim and Jihoon Moon. "Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints" Journal of The Korea Society of Computer and Information 29, no.12 (2024) : 1-11.
Namil Kang; Yechan Cha; Bo-Young Kim; Jihoon Moon. Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints. Journal of The Korea Society of Computer and Information, 29(12), 1-11.
Namil Kang; Yechan Cha; Bo-Young Kim; Jihoon Moon. Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints. Journal of The Korea Society of Computer and Information. 2024; 29(12) 1-11.
Namil Kang, Yechan Cha, Bo-Young Kim, Jihoon Moon. Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints. 2024; 29(12), 1-11.
Namil Kang, Yechan Cha, Bo-Young Kim and Jihoon Moon. "Comparative Analysis of RT-DETR and YOLOv8 for Real-Time Egg Defect Detection under Computational Constraints" Journal of The Korea Society of Computer and Information 29, no.12 (2024) : 1-11.
