Dataset Versions

v2

2024-03-04 12:20am

Generated on Mar 3, 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 83%
24Images
Valid Set 10%
3Images
Test Set 7%
2Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-67% Horizontal Region, 0-82% Vertical Region
Resize: Fit (reflect edges) in 1980x1080

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Blur: Up to 0.2px

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