Dataset Versions

v14

2023-03-12 2-39pm

Generated on Mar 12, 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.
Other Formats
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Dataset Split

Train Set 87%
3378Images
Valid Set 6%
247Images
Test Set 6%
246Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x600

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -9% and +9%
Blur: Up to 3px
Cutout: 2 boxes with 15% size each
Mosaic: Applied

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