Dataset Versions

v7

2023-05-15 8:39am

Generated on May 15, 2023

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.
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Dataset Split

Train Set 88%
471Images
Valid Set 7%
36Images
Test Set 6%
31Images

Preprocessing

Auto-Orient: Applied
Static Crop: 12-88% Horizontal Region, 9-71% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Exposure: Between -13% and +13%

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