Dataset Versions

v5

only_ambu_TL

Generated on Apr 29, 2023

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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 99%
19761Images
Valid Set 1%
166Images
Test Set 0%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -64% and +64%
Brightness: Between -46% and +46%
Exposure: Between -21% and +21%
Blur: Up to 3.25px
Noise: Up to 15% of pixels
Cutout: 4 boxes with 25% size each
Mosaic: Applied

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