Dataset Versions

Versions
fire-augmentv2
v2
·
3 years ago
firenet-augment
v1
·
3 years ago
v1

firenet-augment

Generated on Jan 2, 2022
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Dataset Split

Train Set 100%
5436Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 64x64

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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