v16

550

Generated on Apr 12, 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.
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Dataset Split

Train Set 76%
210Images
Valid Set 13%
37Images
Test Set 10%
28Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -27% and +27%
Brightness: Between -25% and +25%
Exposure: Between -22% and +22%
Blur: Up to 10px
Noise: Up to 10% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 52% Maximum Zoom
Bounding Box: Shear: ±27° Horizontal, ±30° Vertical

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