Dataset Versions

v4

FYP ALPR V3

Generated on Feb 18, 2022

Popular Download Formats

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 88%
2775Images
Valid Set 8%
255Images
Test Set 4%
131Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±8° Vertical
Brightness: Between -21% and +21%
Exposure: Between -25% and +25%
Blur: Up to 0.75px
Noise: Up to 1% of pixels
Cutout: 4 boxes with 2% size each