arXiv Machine Learning September 1, 2026 By Mehrdad Shafiei Dizaji, Hoda Azari

A Visual Question Answering Model to Automate Nondestructive Evaluation Image Analysis

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This article presents a Visual Question Answering (VQA) model tailored for nondestructive evaluation (NDE) image analysis. The system combines a ResNet‑50 image encoder with a GPT‑2 language generator, allowing inspectors to ask targeted questions such as "Is there a crack?" or "Where is the defect located?" and receive precise answers. By facilitating direct question‑and‑answer interactions, the VQA model aims to improve inspection efficiency, reduce errors, and enhance usability in field scenarios.

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