Dataset Versions

v7

2023-07-21 11:29am

Generated on Jul 21, 2023

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%
1104Images
Valid Set 6%
72Images
Test Set 4%
44Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Saturation: Between -40% and +40%
Exposure: Between -10% and +10%
Noise: Up to 4% of pixels
Cutout: 5 boxes with 10% size each

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