Dataset Versions

v14

2023-05-16 11:13pm

Generated on May 16, 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 86%
1125Images
Valid Set 8%
100Images
Test Set 6%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1280x720
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels

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