Dataset Versions

v8

train-valid

Generated on Dec 14, 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 96%
1350Images
Valid Set 4%
50Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 644x644

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between 0% and +35%
Noise: Up to 4% of pixels

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