holes Computer Vision Project

abcd

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Description

Here are a few use cases for this project:

  1. Industrial Safety: The "holes" model can be used in manufacturing or construction sites to identify potentially dangerous holes or openings, separating them into active (in use or part of the design) and inactive (unintended or not in use).

  2. Quality Control in Manufacturing: In businesses that produce objects with intended holes (e.g., pipes, flanges, gaskets), the model can discern between active holes (as per design) and inactive ones (manufacturing defects), which can help in catching errors early in production.

  3. Archeology: Archaeologists can use the model to differentiate between active (man-made or intentional) and inactive (natural or accidental) holes in archaeological sites or objects, aiding in their assessments and interpretations.

  4. Road and Infrastructure Maintenance: The system can be employed to detect holes in public infrastructure like roads, bridges, etc., categorizing them as active (intentional, such as manholes or utility access points) or inactive (such as potholes or structural damage), which can help prioritize reparative works.

  5. Material Science Research: In materials research that involves nano or micro-structures, the model can be used to identify and classify holes as active (part of the material design) and inactive (material imperfections), providing crucial data in the analysis of these materials.

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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{
                            holes-xfs96_dataset,
                            title = { holes Dataset },
                            type = { Open Source Dataset },
                            author = { abcd },
                            howpublished = { \url{ https://universe.roboflow.com/abcd-t6fzi/holes-xfs96 } },
                            url = { https://universe.roboflow.com/abcd-t6fzi/holes-xfs96 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-11-25 },
                            }
                        
                    

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