v3

v2

Generated on Jun 13, 2024

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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 82%
42Images
Valid Set 8%
4Images
Test Set 10%
5Images

Preprocessing

Auto-Orient: Applied
Static Crop: 40-75% Horizontal Region, 30-70% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 1 remapped, 0 dropped
Filter by Tag: 1 required, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 1px
Noise: Up to 1.85% of pixels

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