Dataset Versions

v5

2023-09-11 1:48am

Generated on Sep 10, 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 91%
1527Images
Valid Set 6%
102Images
Test Set 3%
50Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±19° Horizontal, ±19° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 8.25px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -24% and +24%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 4% of pixels

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