Dataset Versions

v2

LicensePlateDatasetv1

Generated on Oct 19, 2021

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 87%
18528Images
Valid Set 8%
1765Images
Test Set 4%
882Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 5% of images
Saturation: Between -46% and +46%
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1% of pixels

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