Dataset Versions

v10

2023-09-20 3:31pm

Generated on Sep 20, 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 88%
5724Images
Valid Set 8%
543Images
Test Set 4%
272Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±23° Horizontal, ±24° Vertical
Saturation: Between -50% and +50%
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 3px

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