Dataset Versions

v4

2024-02-01 4:25pm

Generated on Feb 1, 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.
Other Formats
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Dataset Split

Train Set 84%
4338Images
Valid Set 7%
376Images
Test Set 9%
453Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 21% of images
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 4.5px
Noise: Up to 1.72% of pixels

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