firedetection

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TestActiveFire

Classification

TestActiveFire Image Dataset

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Versions
2024-03-20 7:58pm
v3
Mar 20, 2024
v3

2024-03-20 7:58pm

Generated on Mar 20, 2024
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1300 Total Images

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Dataset Split

Train Set 81%
1050Images
Valid Set 10%
124Images
Test Set 10%
126Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%