Dataset Versions

v1

2024-01-20 8:14pm

Generated on Jan 21, 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.
Other Formats
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Dataset Split

Train Set 87%
2229Images
Valid Set 8%
213Images
Test Set 4%
106Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 2048x2048

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -14% and +14%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.17% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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