Dataset Versions

v1

2023-05-03 2:32pm

Generated on May 3, 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.
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Dataset Split

Train Set 91%
1032Images
Valid Set 9%
102Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 28x28

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Brightness: Between -50% and +50%
Exposure: Between -35% and +35%
Noise: Up to 6% of pixels

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