Dataset Versions

v11

CWGA

Generated on May 30, 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 90%
2802Images
Valid Set 7%
210Images
Test Set 3%
88Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -14% and +14%
Brightness: Between -15% and +15%
Blur: Up to 0.3px
Noise: Up to 0.1% of pixels

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