Dataset Versions

v17

Messy 2

Generated on Mar 17, 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 94%
2058Images
Valid Set 3%
76Images
Test Set 3%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 68% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -5° and +5°
Saturation: Between -33% and +33%
Brightness: Between -33% and +33%
Exposure: Between -13% and +13%
Blur: Up to 4.5px
Noise: Up to 14% of pixels
Cutout: 25 boxes with 9% size each
Mosaic: Applied

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