Dataset Versions

v6

2024-03-18 3:58pm

Generated on Mar 18, 2024

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 82%
6357Images
Valid Set 11%
831Images
Test Set 7%
526Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Cutout: 3 boxes with 10% size each

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