masonry_crack Computer Vision Dataset
About masonry_crack Dataset
These are part of the dataset used in the paper Automatic crack detection and segmentation of masonry structure based on YOLOv9-seg and edge detection, and the full dataset will be published once the paper has been confirmed for publication.
Use Free Crack and 0 Detection API
Powered by general detection model
Code
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "crack, 0"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Detecting classes:
Or try a test image
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicensePublic DomainIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ masonry_crack_dataset,
title = { masonry_crack Dataset },
type = { Open Source Dataset },
author = { crack },
howpublished = { \url{ https://universe.roboflow.com/crack-jd2ur/masonry_crack } },
url = { https://universe.roboflow.com/crack-jd2ur/masonry_crack },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { apr },
note = { visited on 2026-07-29 },
}