cracks detection Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
-
Infrastructure Maintenance: This model can be used by city councils or construction teams to identify cracks in infrastructure such as bridges, buildings, roads, tunnels etc., facilitating timely repairs and enhancing public safety.
-
Geological Studies: Geologists might use the model to analyze rock formations, landslide susceptibility or potential earthquake faults, assisting in the prediction and mitigation of natural disasters.
-
Art Restoration & Archaeology: The model could assist in detecting cracks in artworks, historical monuments, or archaeological artifacts, thereby aiding in delicate restoration tasks.
-
Manufacturing Industry: In quality control processes, particularly in industries such as glassware, ceramics or metals, the model can find minute cracks in products avoiding the circulation of defective goods.
-
Aerospace & Automotive: The model can be used in the periodic inspection of aircrafts, vehicles or their parts for any crack development, thereby ensuring safety and durability.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cracks-detection-xtbn8_dataset,
title = { cracks detection Dataset },
type = { Open Source Dataset },
author = { ENIM },
howpublished = { \url{ https://universe.roboflow.com/enim-sppgm/cracks-detection-xtbn8 } },
url = { https://universe.roboflow.com/enim-sppgm/cracks-detection-xtbn8 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-13 },
}