Detection Computer Vision Project

new-workspace-ibsk5

Updated 3 years ago

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Description

Here are a few use cases for this project:

  1. Industrial Automation: The detection model can be used in robotics and automation to identify and sort objects based on their shape in production lines. For example, separating cylinders, cubes, and spheres on a conveyor belt.

  2. Quality Control: The model can aid in quality control systems by identifying misshapen products in real-time during the manufacturing process, helping to ensure that all products meet the required shape standards.

  3. Education and Learning: The model can be used in educational software to provide interactive learning for children in shape recognition. For instance, a game that asks kids to identify the number of cubes, cylinders, and spheres in a scene.

  4. Augmented Reality & Gaming: The model can be used in AR applications or video games to recognize shapes in real-world environments and overlay digital information or effects based on the identified shapes.

  5. 3D Modeling Software: The "Detection" model could be used in 3D modeling programs to identify pre-existing shapes within a model, allowing users to easily modify or delete specific shapes.

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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{
                            detection-jue31_dataset,
                            title = { Detection Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-ibsk5 },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-ibsk5/detection-jue31 } },
                            url = { https://universe.roboflow.com/new-workspace-ibsk5/detection-jue31 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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