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Abstract: In object detection tasks, small targets are prone to losing critical information during feature extraction by traditional convolutional layers due to their tiny size and sparse features.

The system processes the input image to detect contours, isolates the license plate, and extracts the text using Optical Character Recognition (OCR).

I tested it using sample images from my neighborhood, which included both duplicates and images with poor lighting conditions. I experimented with the thresholds to find the optimal values for ...