Road Damage Detection

RDD

Object Detection

RDD Image Dataset

v12

2024-04-16 6:23pm

Generated on Apr 16, 2024

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Dataset Split

Train Set 97%
2358Images
Valid Set 3%
64Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: Crack
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 99% of images to contain annotations.

Augmentations

Outputs per training example: 6
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical