Dataset Versions

v18

tesT1

Generated on May 22, 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 85%
1436Images
Valid Set 11%
184Images
Test Set 4%
67Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-94% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -7° and +7°
Saturation: Between -14% and +14%
Noise: Up to 0.02% of pixels

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