Dataset Versions

v1

2024-06-11 4:30pm

Generated on Jun 11, 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 87%
75Images
Valid Set 8%
7Images
Test Set 5%
4Images

Preprocessing

Auto-Orient: Applied
Static Crop: 5-87% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.2px

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