Lanedetection

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LaneDetection

Semantic Segmentation

LaneDetection Image Dataset

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Versions
2024-06-25 6:43am
v2
·
6 days ago
2024-06-23 5:29pm
v1
·
7 days ago
v2

2024-06-25 6:43am

Generated on Jun 25, 2024
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240 Total Images

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Dataset Split

Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels