Dataset Versions

v10

cem_14

Generated on Jan 14, 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 95%
717Images
Valid Set 4%
28Images
Test Set 1%
8Images

Preprocessing

Auto-Orient: Applied
Static Crop: 27-75% Horizontal Region, 27-75% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -21% and +21%
Blur: Up to 4px
Mosaic: Applied

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