Dataset Versions

v1

2023-07-19 8:42pm

Generated on Jul 19, 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 88%
2010Images
Valid Set 8%
191Images
Test Set 4%
96Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±8° Horizontal, ±21° Vertical
Hue: Between -39° and +39°
Saturation: Between -40% and +40%
Blur: Up to 1.5px
Noise: Up to 8% of pixels
Cutout: 6 boxes with 21% size each
Mosaic: Applied

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