Dataset Versions

v24

2022-11-04 8:06am

Generated on Nov 4, 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 91%
2400Images
Valid Set 5%
137Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 400x400
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 66% Maximum Zoom
Rotation: Between -45° and +45°
Grayscale: Apply to 20% of images
Hue: Between -17° and +17°
Brightness: Between -5% and +5%
Blur: Up to 1.25px
Noise: Up to 2% of pixels
Mosaic: Applied

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