Dataset Versions

v11

yolo

Generated on Mar 30, 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.
Other Formats
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Dataset Split

Train Set 90%
1143Images
Valid Set 2%
24Images
Test Set 8%
100Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Noise: Up to 2% of pixels
Bounding Box: Brightness: Between -3% and +3%
Bounding Box: Exposure: Between -4% and +4%
Bounding Box: Noise: Up to 2% of pixels

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