Dataset Versions

v3

roboflow_lpr

Generated on Feb 18, 2022

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 81%
8106Images
Valid Set 18%
1802Images
Test Set 2%
153Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Blur: Up to 4.75px

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