Dataset Versions

v2

violation-v2

Generated on Dec 21, 2021

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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 94%
11208Images
Valid Set 6%
675Images
Test Set 1%
90Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Blur: Up to 1.25px
Noise: Up to 4% of pixels
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 2% of pixels

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