Dataset Versions

v1

2024-08-04 11:51am

Generated on Aug 4, 2024

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%
2112Images
Valid Set 6%
150Images
Test Set 6%
150Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 0-100% Vertical Region
Resize: Fill (with center crop) in 2048x2048

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 0.5px

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