Dataset Versions

v1

2023-02-14 5:25pm

Generated on Feb 14, 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.
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Dataset Split

Train Set 89%
2379Images
Valid Set 8%
221Images
Test Set 3%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -22° and +22°
Shear: ±26° Horizontal, ±28° Vertical
Hue: Between -25° and +25°
Saturation: Between -75% and +75%
Brightness: Between -39% and +39%
Exposure: Between -29% and +29%
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Rotation: Between -7° and +7°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 0.75px
Bounding Box: Noise: Up to 5% of pixels

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