Dataset Versions

v1

2022-10-31 5:32am

Generated on Oct 31, 2022

Popular Download Formats

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.
Other Formats
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Dataset Split

Train Set 90%
3057Images
Valid Set 6%
199Images
Test Set 4%
135Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±7° Horizontal, ±7° Vertical
Hue: Between -35° and +35°
Saturation: Between -40% and +40%
Brightness: Between -20% and +20%
Exposure: Between -9% and +9%
Blur: Up to 1.25px
Noise: Up to 2% of pixels
Cutout: 4 boxes with 4% size each

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