Comparative evaluation of YOLO and RT-DETR models for real-time defect detection in wood-based 3D printing

Xinxu Wang; Chenglin Yan; Xiaoxu Li; Qi Wang; Pu Cui

doi:10.1038/s41598-026-41855-y

Comparative evaluation of YOLO and RT-DETR models for real-time defect detection in wood-based 3D printing

X Xinxu Wang C Chenglin Yan (College of Energy, Key Laboratory of Core Technology of High Specific Energy Battery and Key Materials for Petroleum and Chemical Industry) X Xiaoxu Li Q Qi Wang P Pu Cui

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published March 20, 2026

DOI 10.1038/s41598-026-41855-y

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (5)

X

Xinxu Wang

C

Chenglin Yan

College of Energy, Key Laboratory of Core Technology of High Specific Energy Battery and Key Materials for Petroleum and Chemical Industry

X

Xiaoxu Li

Q

Qi Wang

P

Pu Cui

Comparative evaluation of YOLO and RT-DETR models for real-time defect detection in wood-based 3D printing

Article Details

Journal Info

Authors (5)

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