Dataset Versions

v7

skripsi-anpr-v7

Generated on Jun 19, 2023

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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 87%
3045Images
Valid Set 9%
297Images
Test Set 4%
152Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 712x712
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±20° Vertical
Grayscale: Apply to 33% of images
Brightness: Between -50% and +50%
Exposure: Between -30% and +30%
Blur: Up to 3px
Noise: Up to 5% of pixels

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