Dataset Versions

v2

2023-12-07 12:59pm

Generated on Dec 7, 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.
Other Formats
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Dataset Split

Train Set 88%
1515Images
Valid Set 8%
144Images
Test Set 4%
71Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
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, 9% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -6% and +6%
Blur: Up to 1px
Noise: Up to 10% of pixels
Cutout: 12 boxes with 13% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -19° and +19°
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Exposure: Between -14% and +14%
Bounding Box: Blur: Up to 10.75px
Bounding Box: Noise: Up to 5% of pixels

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