Dataset Versions

v14

HE

Generated on Sep 28, 2023

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.
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Dataset Split

Train Set 86%
465Images
Valid Set 7%
39Images
Test Set 7%
36Images

Preprocessing

Auto-Orient: Applied
Static Crop: 5-90% Horizontal Region, 5-90% Vertical Region
Resize: Stretch to 250x300

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Hue: Between -40° and +40°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -30% and +30%
Noise: Up to 10% of pixels
Cutout: 10 boxes with 5% size each

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