Dataset Versions

v1

2023-08-28 11:51am

Generated on Aug 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 89%
3094Images
Valid Set 6%
196Images
Test Set 6%
194Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -33° and +33°
Shear: ±15° Horizontal, ±12° Vertical
Grayscale: Apply to 26% of images
Hue: Between -46° and +46°
Saturation: Between -29% and +29%
Brightness: Between -18% and +18%

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