Lowering the Barrier to AI-Driven Inspection: A No-Code Workflow for Automated Structural Defect Detection

arXiv:2608.25176 · cs.CV, cs.LG, eess.IV · Submitted 2026-08-25 · Read on arXiv

cs.CV, cs.LG, eess.IV

Submitted: 2026-08-25

Updated: 2026-08-25

Comments: 11 pages, 7 figures. Accepted to ASME SMASIS 2026 (paper SMASIS2026-190654). Software available at https://github.com/michaelholm6/YOLOEZ

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

F1 Score — 6× in this paper · explained in 3 episodes
Accuracy — 4× in this paper · explained in 1 episode
Segmentation Masks — 4× in this paper · explained in 2 episodes
Generalization — 3× in this paper · explained in 13 episodes
Adam — 2× in this paper · explained in 2 episodes
Convolutional Neural Networks (CNNs) — 2× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
Digital Twin — 2× in this paper · explained in 4 episodes
Interpretability — 2× in this paper · explained in 15 episodes
Predictive Maintenance — 2× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 5 episodes
You Only Look Once — 2× in this paper
Computer Vision Annotation Tool — 1× in this paper
Department of Energy — 1× in this paper
Edge Deployment — 1× in this paper · explained in 2 episodes
Structural Integrity — 1× in this paper · explained in 3 episodes