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Modern and minimalist web interface design for SHIP HULL PLATE DAMAGE CLASSIFICATION supported by image processing and machine learning, inspired by object detection dashboard layouts.The interface should use a dark theme with soft contrast, rounded corners, and subtle shadows. Use a clean two-column layout: Left panel for input: Image upload area with drag-and-drop or “Click to Upload” functionality. Two buttons: Run Detection (marked in aqua green or blue) and Delete (gray). Right panel displays detection results: Large preview window labeled “Detected Image.” Table or grid displaying detected defects with columns such as Defect Type. Image Properties table displaying Accuracy, Precision, Recall, F1-score. Option to download report (PDF/CSV). Visual style: Color palette: navy blue, steel gray, light blue—conveying a maritime theme. Typography: use a modern sans-serif font such as Poppins or Inter. Include a loading spinner, fade-in animation, and highlighting when hovering for interactivity. The design should be responsive and look good on desktop, tablet, and mobile screens. Ensure the interface conveys precision, innovation, and reliability, appropriate for an AI-powered ship inspection and maintenance platform.
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