update

[Suntijra]

🤖 Generated by Copilot at 93e1754

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🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

This PR adds new datasets for license plate detection along with pre-processing and augmentation details.

📊 Key Changes

• Added README.dataset.txt, README.roboflow.txt explaining the new dataset and its source from Roboflow.
• Included data.yaml defining the training and validation paths, class count, class names, and additional dataset info.
• Added labels for 303 images in the YOLO v5 PyTorch format.
• Implemented pre-processing such as resizing and center cropping, as well as augmentations like random Gaussian blur and salt and pepper noise.

🎯 Purpose & Impact

• Improves the model's ability to detect car and motorcycle license plates by providing additional annotated training data.
• The augmentations and pre-processing steps help in developing a robust model by simulating various real-world conditions.

[github-actions]

👋 Hello @Suntijra, thank you for submitting a YOLOv5 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

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