Dataset Versions

v5

2022-08-24 2:39pm

Generated on Aug 24, 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%
5391Images
Valid Set 8%
512Images
Test Set 4%
256Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1280x1280
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 5px

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