Dataset Versions

v9

2024-02-19 8:52am

Generated on Feb 19, 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 84%
1125Images
Valid Set 8%
110Images
Test Set 8%
110Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±12° Vertical
Grayscale: Apply to 22% of images
Hue: Between -21° and +21°
Saturation: Between -33% and +33%
Brightness: Between -21% and +21%
Exposure: Between -14% and +14%
Blur: Up to 4.3px
Noise: Up to 1.29% of pixels

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