Dataset Versions

v4

NumberV4

Generated on Mar 7, 2022

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 100%
180Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 32x64

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Noise: Up to 1% of pixels

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