Dataset Versions

v37

2024-01-15 12:39pm

Generated on Jan 15, 2024

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 94%
462Images
Valid Set 3%
17Images
Test Set 3%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

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 -15° and +15°
Shear: ±9° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -16° and +16°
Saturation: Between -16% and +16%
Brightness: Between -17% and +17%
Exposure: Between -6% and +6%
Noise: Up to 1.37% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 12% Maximum Zoom
Bounding Box: Rotation: Between -17° and +17°
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Exposure: Between -20% and +20%

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