Dataset Versions

v7

2022-10-04 1:12pm

Generated on Oct 4, 2022

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 89%
2331Images
Valid Set 6%
167Images
Test Set 4%
111Images

Preprocessing

Auto-Orient: Applied
Static Crop: 11-68% Horizontal Region, 0-100% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 1 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -38% and +38%

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