person and fire detection Dataset

v7

07

Generated on May 19, 2023

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Dataset Split

Train Set 96%
2997Images
Valid Set 3%
99Images
Test Set 0%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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