Grado2_y_3 Computer Vision Project

ISAREP

Updated 2 years ago

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Classes (2)
Grado2
Grado3
Description

Here are a few use cases for this project:

  1. "Rust Severity Analysis": This project could be used in industrial environments to inspect machinery and structures for rust, classifying the severity based on Grado2 and Grado3 degrees. Key Use: Maintenance, Safety Inspection, Equipment health checks.

  2. "Urban Decay and Infrastructure Monitoring": The model can serve as a tool for urban planning or civil engineering projects, using it to monitor public infrastructure like bridges, buildings, or old structures for rust conditions categorized under Grado2 or Grado3.

  3. "Automotive Diagnosis": Car repair shops might use this project to assess the severity of rust on vehicles, enabling accurate diagnosis and repair.

  4. "Art Restoration and Preservation": Art conservators could use this model to determine the extent of rust or similar damage on metal artworks or historical artifacts, helping them approach restoration appropriately.

  5. "Marine Equipment Inspection": The model could be employed for inspection purposes in marine environments where metal rust is a common issue threatening the longevity of devices used. It would help categorize the criticality of rust for underwater machines, ships, and submerged structures.

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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{
                            grado2_y_3_dataset,
                            title = { Grado2_y_3 Dataset },
                            type = { Open Source Dataset },
                            author = { ISAREP },
                            howpublished = { \url{ https://universe.roboflow.com/isarep-kjqmy/grado2_y_3 } },
                            url = { https://universe.roboflow.com/isarep-kjqmy/grado2_y_3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2025-01-04 },
                            }
                        
                    

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