Add Copy-Paste to mosaic9()

[glenn-jocher]

Signed-off-by: Glenn Jocher [email protected]

🛠️ PR Summary

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🌟 Summary

Improved image augmentation with "Copy-Paste" technique in data preprocessing.

📊 Key Changes

• 🖼️ Introduced "Copy-Paste" image augmentation within the load_mosaic9 function in dataloaders.py.
• 🏷️ Added support for this augmentation to handle image labels and segments.

🎯 Purpose & Impact

• 💡 Purpose: The new "Copy-Paste" augmentation aims to enhance the variation in training data, which helps in improving the model's ability to generalize to new, unseen images by simulating a more diverse set of training examples.
• 🔍 Impact: Users can expect potentially improved object detection performance from models trained with this method, especially in scenarios where the object of interest can appear in different contexts or compositions in the images.