Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Size:
10K - 100K
Tags:
Synthetic
DOI:
License:
Commit
•
8c1cffe
1
Parent(s):
6326c07
Update README.md
Browse files
README.md
CHANGED
@@ -8,3 +8,11 @@ pretty_name: Synthetic masonry surfaces for crack segmentation
|
|
8 |
size_categories:
|
9 |
- 1K<n<10K
|
10 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
size_categories:
|
9 |
- 1K<n<10K
|
10 |
---
|
11 |
+
|
12 |
+
# Synthetic masonry surfaces
|
13 |
+
|
14 |
+
A synthetic masonry crack dataset. This dataset is meant to be used with image segmentation models aimed at segmenting cracks in masonry surfaces, for instance using [this](https://github.com/dimitrisdais/crack_detection_CNN_masonry) network.
|
15 |
+
This dataset was generated using a [3D dataset generation framework for masonry surfaces](https://github.com/DavidHidde/cracked-surface-generation) and is available under the GPL-3.0 license.
|
16 |
+
|
17 |
+
## Dataset structure
|
18 |
+
This dataset consist of 2 subdatasets: a dataset generated using a 'patches' rendering approach and one using a regular rendering approach. The patches rendering approach renders images at a higer resolution and then cuts the result into smaller patches. Both dataset archives consist of both the input images and generated ground-truth masks.
|