Dataset Versions

v1

0610_last

Generated on Jun 10, 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 88%
2865Images
Valid Set 8%
267Images
Test Set 3%
106Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%