Dataset Versions

v5

skripsi-anpr-v5

Generated on Jun 17, 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%
1053Images
Valid Set 8%
100Images
Test Set 4%
51Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 712x712
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 33% of images
Brightness: Between -50% and +50%

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