Dataset Versions

v3

steno1v2

Generated on Jun 23, 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.
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Dataset Split

Train Set 89%
1320Images
Valid Set 8%
113Images
Test Set 3%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.54% of pixels
Mosaic: Applied

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