License Registration Classification

1. Quick Start Guide: Setup and Run Instructions

This application uses a YOLO model to automatically detect, classify, and extract specific license registration documents (STNK).

1. Preparation: Ensure your image clearly shows the target license document.
2. Upload: Click the 'Upload License Image' box and select your image (JPG, PNG).
3. Run: Click the "Detect Document" button.
4. Review: The detected documents will appear in the 'Cropped Documents' gallery, and the 'Detection Result' box will show the classification and confidence score.

2. Expected Inputs and Preprocessing

Automatic Preprocessing Steps:

Before detection, the input image is automatically adjusted to enhance accuracy:

1. Sharpness: Increased sharpness by 2.0.
2. Contrast: Increased contrast by 1.5.
3. Brightness: Slightly reduced brightness by 0.8.
4. Resizing: The image is resized to a width of 448 pixels while maintaining its original aspect ratio.

3. Expected Outputs (Detection and Classification)

The application produces two outputs based on a successful detection:

1. Cropped Documents (Gallery):

   • This gallery displays only the regions of the image where a license document was confidently detected (Confidence > 80%).
   • If multiple documents are found, all cropped images will appear here.

2. Detection Result (Textbox):

   • A text summary listing each detected document, including its specific class name (e.g., 'STNK Class A'), and the model's confidence level (as a percentage).

Failure Modes:

• If "No document detected" is returned, it means the model did not find a document with a confidence level of 80% or higher, or the image quality was too poor for detection.