Dataset Versions

v1

ANPR_segment

Generated on Dec 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
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Dataset Split

Train Set 90%
4119Images
Valid Set 7%
308Images
Test Set 3%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 29 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -64% and +64%
Exposure: Between -59% and +59%
Blur: Up to 10px
Noise: Up to 8% of pixels
Cutout: 20 boxes with 12% size each

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