Monitor Dataset

v5

2024-02-12 3:13pm

Generated on Feb 12, 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 69%
1710Images
Valid Set 23%
566Images
Test Set 9%
213Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±26° Horizontal, ±26° Vertical
Brightness: Between -68% and +68%
Blur: Up to 2.4px
Noise: Up to 1.96% of pixels

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