Dataset Versions

v16

2022-11-01 7:21pm

Generated on Nov 1, 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.
Other Formats
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Dataset Split

Train Set 85%
144Images
Valid Set 13%
22Images
Test Set 2%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x960

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -10% and +10%
Noise: Up to 10% of pixels