Dataset Versions

v8

2023-11-24 1:53am

Generated on Nov 23, 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.
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Dataset Split

Train Set 85%
5712Images
Valid Set 8%
569Images
Test Set 7%
451Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-90% Horizontal Region, 30-70% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±45° Vertical
Brightness: Between -50% and +0%
Blur: Up to 2px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between 0% and +90%

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