Dataset Versions

v1

2022-02-09 10:05am

Generated on Feb 9, 2022

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 84%
1500Images
Valid Set 10%
180Images
Test Set 6%
100Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -2° and +2°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -15% and +15%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 2px
Noise: Up to 5% of pixels

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