FinalProjectPA Dataset

v4

2024-07-19 1:05pm

Generated on Jul 19, 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 87%
4167Images
Valid Set 8%
400Images
Test Set 4%
205Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 22% of images
Hue: Between -22° and +22°
Saturation: Between -23% and +23%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 0% of pixels

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