Dataset Versions

v2

Version 2.0

Generated on Dec 12, 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.
Other Formats
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Dataset Split

Train Set 88%
3051Images
Valid Set 8%
290Images
Test Set 4%
145Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -22° and +22°
Shear: ±22° Horizontal, ±22° Vertical
Grayscale: Apply to 50% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 5px
Noise: Up to 5% of pixels

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