Fire Computer Vision Dataset
Versions
1684 Total Images
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Dataset Split
Train Set 92%
1554Images
Valid Set 4%
65Images
Test Set 4%
65Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -12° and +12°
Hue: Between -17° and +17°
Saturation: Between -30% and +30%
Exposure: Between -15% and +15%