Dataset Versions

v5

V5-Roboflow_model

Generated on May 29, 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 87%
2484Images
Valid Set 8%
238Images
Test Set 4%
119Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -16% and +16%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.3px
Noise: Up to 0.26% of pixels

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