Dataset Versions

v4

2023-06-28 8:00pm

Generated on Jun 29, 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 87%
1251Images
Valid Set 8%
116Images
Test Set 5%
73Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±12° Horizontal, ±13° Vertical
Brightness: Between -40% and +40%
Exposure: Between -14% and +14%
Blur: Up to 1.5px
Cutout: 10 boxes with 3% size each

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