LPR Dataset

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2022-01-11 4:32pm
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2 years ago
2022-01-11 4:05pm
v5
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2 years ago
2022-01-11 3:14pm
v3
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2 years ago
v3

2022-01-11 3:14pm

Generated on Jan 11, 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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876 Total Images

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Dataset Split

Train Set 100%
876Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%