Dataset Versions

v16

2021-11-19 3:51pm

Generated on Nov 19, 2021

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%
1719Images
Valid Set 6%
120Images
Test Set 3%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 544x544
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -40° and +40°
Exposure: Between -28% and +28%
Noise: Up to 7% of pixels

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