Dataset Versions

v12

2024-05-07 11:19am

Generated on May 7, 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%
1046Images
Valid Set 11%
141Images
Test Set 3%
43Images

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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