FraXrAI Dataset

v23

Dataset 1.10 Stanley-25 null- exposer- cut outs-

Generated on Jul 13, 2022

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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 87%
660Images
Valid Set 7%
56Images
Test Set 6%
44Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -60% and +60%
Exposure: Between -10% and +10%
Cutout: 20 boxes with 20% size each