Dataset Versions

v4

Fire

Generated on Jan 30, 2024

Dataset Split

Train Set 88%
252Images
Valid Set 8%
22Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.89% of pixels
Cutout: 11 boxes with 10% size each

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