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Summary

Category Observation
Dataset size 18,485 images
Total bounding boxes 19,754
Classes container, license_plate
Distribution 17% container / 83% license_plate
Image resolution 640×640 px (normalized)
Imbalance handling Data augmentation and class weighting
Data quality Verified, no duplicates, no blur/dark images

The dataset consists of 18,485 images with 19,754 bounding boxes across 2 classes: container and license_plate. There is a notable class imbalance (17% container / 83% license_plate), addressed through data augmentation and class weighting during training. All images are normalized to 640×640 px, and the dataset has been quality-checked with no duplicates and no blurry/dark images.

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Models trained or fine-tuned on maianh511/PortVehicleOCR