Dataset Versions

v17

2022-11-22 1:38pm

Generated on Nov 22, 2022

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 62%
555Images
Valid Set 25%
227Images
Test Set 13%
120Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Modify Classes: 6 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 42% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±16° Horizontal, ±37° Vertical
Brightness: Between -35% and +35%
Blur: Up to 4.25px

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