Dataset Versions

v2

2023-11-18 4:41pm

Generated on Nov 18, 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 87%
4233Images
Valid Set 9%
414Images
Test Set 4%
199Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -5° and +5°
Grayscale: Apply to 2% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -12% and +12%
Exposure: Between -2% and +2%
Bounding Box: Blur: Up to 0.25px

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