Dataset Versions

v4

sirenAmbu_augmented

Generated on Apr 29, 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 95%
7254Images
Valid Set 2%
175Images
Test Set 2%
175Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -65% and +65%
Brightness: Between -45% and +45%
Exposure: Between -20% and +20%
Blur: Up to 3.25px
Noise: Up to 15% of pixels
Cutout: 4 boxes with 25% size each