Casting detection Computer Vision Project

new-workspace-kmz9b

Updated 3 years ago

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Classes (8)
Casting_burr
Polished_casting
Polished_casting_with_burr
crack
pit
scratch strain
unpolished_casting
Description

Here are a few use cases for this project:

  1. Quality Control in Manufacturing: This model can be used in manufacturing industries, specifically for those that deal with casting, e.g., automotive, aerospace, heavy machinery. By identifying casting defects such as scratches, cracks, pits, burrs, it helps in maintaining the high quality of products and rejecting defects early in the production process.

  2. Restoration and Repair: Use the model in the applications about the restoration of vintage cars, bikes, machines, and more. By identifying the specific issues like cracks, scratches, or strains, relevant repairs can be carried out efficiently.

  3. Art and Sculpture Evaluation: The computer vision model could be used to evaluate sculptures or works of art that have been casted. It could identify potential defects or areas that need further polishing or refinement.

  4. Archeology and Geology: This model can assist in analyzing geological artifacts or samples. Identifying and cataloging different types of casting-related features or anomalies can be useful in these scientific investigations.

  5. Jewelry Making and Inspection: With the ability to identify issues like scratches, pit, casts, etc., the computer vision model could be used in the inspection phase of jewelry manufacturing, detecting flaws and imperfections and ensuring the jewelries' high quality.

Supervision

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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{
                            casting-detection-leboi_dataset,
                            title = { Casting detection Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-kmz9b },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-kmz9b/casting-detection-leboi } },
                            url = { https://universe.roboflow.com/new-workspace-kmz9b/casting-detection-leboi },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-11-17 },
                            }
                        
                    

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