roaddamage

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road_damage

Object Detection

road_damage Image Dataset

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Versions
2022-11-13 8:04am
v22
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2 years ago
2022-11-13 7:30am
v21
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2 years ago
2022-11-13 7:29am
v20
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2 years ago
2022-11-13 7:20am
v19
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2 years ago
2022-11-13 7:08am
v18
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2 years ago
2022-11-13 6:58am
v17
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2 years ago
2022-11-13 6:47am
v16
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2 years ago
2022-11-13 6:44am
v15
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2 years ago
2022-11-13 6:21am
v14
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2 years ago
2022-11-13 6:20am
v13
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2 years ago
2022-11-13 6:15am
v12
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2 years ago
2022-11-13 6:06am
v11
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2 years ago
2022-11-13 6:01am
v10
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2 years ago
2022-11-13 2:58am
v9
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2 years ago
2022-11-13 2:43am
v8
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2 years ago
2022-11-13 2:19am
v7
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2 years ago
2022-11-12 8:22pm
v6
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2 years ago
2022-11-12 8:20pm
v5
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2 years ago
2022-11-12 6:57pm
v4
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2 years ago
2022-11-12 6:45pm
v3
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2 years ago
2022-11-12 10:35am
v2
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2 years ago
v5

2022-11-12 8:20pm

Generated on Nov 12, 2022
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82 Total Images

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Dataset Split

Train Set 68%
56Images
Valid Set 20%
16Images
Test Set 12%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -32% and +32%