Dataset Versions

v3

2022-07-27 6:45pm

Generated on Jul 27, 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 84%
810Images
Valid Set 9%
86Images
Test Set 7%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -33° and +33°
Shear: ±33° Horizontal, ±33° Vertical
Brightness: Between -30% and +30%
Blur: Up to 2.75px
Noise: Up to 15% of pixels
Cutout: 8 boxes with 10% size each

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