You are building a predictive maintenance model to preemptively detect part defects in bridges, which is crucial for ensuring safety and longevity. You plan to use high definition images of the bridges as model inputs, utilizing advanced image processing and machine learning techniques. You need to explain the output of the model to the relevant stakeholders, such as engineers and maintenance teams, so they can take appropriate action based on the model's predictions. How should you build the model to achieve accurate predictions and provide understandable explanations?