Dataset Versions

v6

2022-07-20 6:01pm

Generated on Jul 20, 2022

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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 88%
645Images
Valid Set 8%
58Images
Test Set 4%
31Images

Preprocessing

Resize: Fit (white edges) in 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 1% of pixels
Bounding Box: Shear: ±7° Horizontal, ±8° Vertical
Bounding Box: Brightness: Between -25% and +25%

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