Dataset Versions

v4

added100dollarBills-TrainV1-FAST

Generated on Jul 11, 2022

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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
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Dataset Split

Train Set 87%
1635Images
Valid Set 8%
157Images
Test Set 4%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Cutout: 5 boxes with 3% size each

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