Dataset Versions

v7

2021-12-07 1:00am

Generated on Dec 7, 2021

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 92%
4173Images
Valid Set 6%
268Images
Test Set 2%
84Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Shear: ±7° Horizontal, ±5° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.25px