Dataset Versions

v4

2023-10-10 1:04pm

Generated on Oct 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 90%
3333Images
Valid Set 8%
295Images
Test Set 2%
73Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Grayscale: Apply to 20% of images
Saturation: Between -16% and +16%
Brightness: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 6% of pixels
Bounding Box: Blur: Up to 0.75px
Bounding Box: Noise: Up to 3% of pixels

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