Dataset Versions

v2

01-04-2023

Generated on Apr 5, 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 82%
1944Images
Valid Set 9%
216Images
Test Set 9%
217Images

Preprocessing

Static Crop: 13-90% Horizontal Region, 13-90% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Grayscale: Apply to 50% of images
Saturation: Between -68% and +68%
Exposure: Between -25% and +25%
Bounding Box: Brightness: Between -25% and +25%

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