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Update Roboflow segmentation Docs pages (#8094)

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Muhammad Rizwan Munawar 2024-02-08 22:03:24 +05:00 • committed by GitHub
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docs/en/datasets/segment/crack-seg.md
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@ -4,9 +4,9 @@ description: Explore the Crack Segmentation using Ultralytics YOLOv8 Dataset, a
keywords: Crack Segmentation Dataset, Ultralytics, road cracks monitoring, YOLO model, object detection, object tracking, road safety
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# Crack Segmentation Dataset
# Roboflow Universe Crack Segmentation Dataset
The [Roboflow](https://roboflow.com/?ref=ultralytics) Crack Segmentation Dataset stands out as an extensive resource designed specifically for individuals involved in transportation and public safety studies. It is equally beneficial for those working on the development of self-driving car models or simply exploring computer vision applications for recreational purposes.
The [Roboflow](https://roboflow.com/?ref=ultralytics) [Crack Segmentation Dataset](https://universe.roboflow.com/university-bswxt/crack-bphdr) stands out as an extensive resource designed specifically for individuals involved in transportation and public safety studies. It is equally beneficial for those working on the development of self-driving car models or simply exploring computer vision applications for recreational purposes.
Comprising a total of 4029 static images captured from diverse road and wall scenarios, this dataset emerges as a valuable asset for tasks related to crack segmentation. Whether you are delving into the intricacies of transportation research or seeking to enhance the accuracy of your self-driving car models, this dataset provides a rich and varied collection of images to support your endeavors.