Dataset Versions

v7

2022-09-05 9:10pm

Generated on Sep 5, 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 91%
1839Images
Valid Set 5%
110Images
Test Set 4%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±21° Horizontal, ±17° Vertical
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Exposure: Between -30% and +30%
Blur: Up to 2px
Noise: Up to 3% of pixels

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