Dataset Versions

v2

2024-01-23 3:02pm

Generated on Jan 23, 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.
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Dataset Split

Train Set 86%
6138Images
Valid Set 8%
585Images
Test Set 6%
408Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±4° Horizontal, ±4° Vertical
Grayscale: Apply to 12% of images
Saturation: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 2px

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