Dataset Versions

v1

2023-08-02 9:42am

Generated on Aug 2, 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 96%
26625Images
Valid Set 2%
585Images
Test Set 1%
409Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

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
Grayscale: Apply to 2% of images
Hue: Between -180° and +180°
Saturation: Between -30% and +30%
Brightness: Between -40% and +40%
Exposure: Between -20% and +20%
Blur: Up to 1.75px
Noise: Up to 4% of pixels
Cutout: 25 boxes with 2% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 1.75px
Bounding Box: Noise: Up to 3% of pixels

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