Dataset Versions

v6

Signs_Augmented_V4

Generated on Jun 19, 2024

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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 90%
640Images
Valid Set 7%
47Images
Test Set 3%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 5
Shear: ±10° Horizontal, ±11° Vertical
Grayscale: Apply to 11% of images
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%

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