Dataset Versions

v38

V9

Generated on Jun 20, 2022

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 70%
3291Images
Valid Set 19%
879Images
Test Set 11%
513Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -40° and +40°
Saturation: Between -40% and +40%
Brightness: Between 0% and +35%

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