Dataset Versions

v1

2024-11-18 3:07am

Generated on Nov 17, 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 92%
2260Images
Valid Set 6%
141Images
Test Set 2%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 5
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Cutout: 3 boxes with 10% size each
Mosaic: Applied

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