Hole Classification Computer Vision Project

University of Waterloo

Updated 9 months ago

36

views

3

downloads
Classes (3)
Fully Covered
Partially Covered
Uncovered

Metrics

Try This Model
Drop an image or
Description

Here are a few use cases for this project:

  1. Infrastructure Inspection: The model can be used by municipal authorities or construction companies to inspect buildings, roads, or bridges for any holes and classify them based on their cover status. This can help in prioritizing maintenance and repair work.

  2. Golf Course Management: The model can be used to identify and classify the status of holes on a golf course, ensuring that they are properly maintained and fit for play.

  3. Safety Assessment in Mining: The model could be utilized to classify the status of prospecting holes or drill-holes in mining fields. This can contribute to ensuring safety standards and identifying potential hazards.

  4. Archaeological Surveys: In archaeological work, this model can help to classify different uncovered, partially covered or fully covered holes that could indicate potential sites for further excavation or investigation.

  5. Environmental Studies: This model could be useful in classifying burrows or holes in natural environments, aiding in animal behavior studies and biodiversity surveys.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            hole-classification_dataset,
                            title = { Hole Classification Dataset },
                            type = { Open Source Dataset },
                            author = { University of Waterloo },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-waterloo-qbtvb/hole-classification } },
                            url = { https://universe.roboflow.com/university-of-waterloo-qbtvb/hole-classification },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-11-21 },
                            }