Dataset Versions

v12

2023-01-19 8:39pm

Generated on Jan 19, 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 76%
321Images
Valid Set 11%
48Images
Test Set 13%
56Images

Preprocessing

Resize: Fit within 300x120

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±0° Horizontal, ±8° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Blur: Up to 2px
Noise: Up to 25% of pixels

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