Dataset Versions

v18

2021-11-19 4:20pm

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 Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Exposure: Between -15% and +15%

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