CourtSegm Computer Vision Project

new-workspace-hipyx

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Sports Analytics: The "CourtSegm" computer vision model can be used by sports analysts to differentiate between different types of courts. This can assist in making game strategies, studying player movements or behaviors in particular court conditions, and determining player efficiency in different court classes.

  2. Surveillance and Security: The model can be applied in security cameras installed around sports complexes to identify and monitor different court areas. This can help in tracking unauthorized access or activities in specific areas.

  3. Gaming Industry: Developers in the gaming industry can use this model to train games in recognizing different sports courts. This could lead to realistic game environments and enhance game strategy development.

  4. Architectural Design and Planning: Architects and designers can utilize the model to verify and validate the construction or renovation of sports courts. It could help ensure the regulations regarding court dimensions are adhered to.

  5. Sports Equipment Retail: This model can assist sports equipment companies in optimizing product recommendations. By identifying the court classes, they can suggest suitable equipment, like tennis rackets for tennis courts or basketballs for basketball courts.

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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{
                            courtsegm_dataset,
                            title = { CourtSegm Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-hipyx },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-hipyx/courtsegm } },
                            url = { https://universe.roboflow.com/new-workspace-hipyx/courtsegm },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-11-22 },
                            }
                        
                    

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