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winter road condition detection

Semantic Segmentation

winter road condition detection Image Dataset

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Versions
2023-07-17 4:07pm
v4
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a year ago
2023-07-14 3:37pm
v3
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a year ago
2023-07-14 3:29pm
v2
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a year ago
2023-07-14 10:34am
v1
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a year ago
v3

2023-07-14 3:37pm

Generated on Jul 14, 2023
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850 Total Images

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Dataset Split

Train Set 88%
744Images
Valid Set 8%
70Images
Test Set 4%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise