Dataset Versions

v3

2024-05-11 7:25am

Generated on May 11, 2024

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 94%
343Images
Valid Set 4%
14Images
Test Set 2%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 864x864

Augmentations

Outputs per training example: 7
Rotation: Between -10° and +10°
Shear: ±7° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -28% and +28%
Brightness: Between -22% and +22%
Blur: Up to 0.8px