Bird Eye View Computer Vision Project

Mohamed Badreldin

Updated a year ago

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Classes (7)
18Yard
18Yard Circle
5Yard
First Half Central Circle
First Half Field
Second Half Central Circle
Second Half Field

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Description

Here are a few use cases for this project:

  1. Soccer Game Analysis: The "Bird Eye View" model can be utilized by soccer coaches and analysts to study team formations, player positioning, and strategy development during a soccer match. By identifying specific regions of the field, automated heat maps and spatial statistics can be generated.

  2. Player Performance Evaluation: The model can be employed for evaluating individual player performance during a soccer match by recognizing the players' movement, positioning, and ball control within specific areas of the field, such as the 18-yard box or central circles.

  3. Sports Broadcasting and Media Content: With the ability to identify different sections of a soccer field, the "Bird Eye View" model can enhance telecasts, post-match analysis, and online soccer content with graphics and overlays that display relevant information corresponding to specific areas on the pitch.

  4. Athlete Training and Development: The model can prove valuable for sports academies and athletic trainers by assessing players' spatial awareness, technical skill execution, and decision-making abilities in different sections of the field during practice sessions or simulated games.

  5. Augmented Reality Applications: The "Bird Eye View" model can provide a foundation for developing augmented reality applications, such as apps that help soccer players visualize and understand tactical movements, positioning, and strategies in real-time using their mobile devices or wearables on the field.

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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{
                            bird-eye-view_dataset,
                            title = { Bird Eye View Dataset },
                            type = { Open Source Dataset },
                            author = { Mohamed Badreldin },
                            howpublished = { \url{ https://universe.roboflow.com/mohamed-badreldin-cp2tc/bird-eye-view } },
                            url = { https://universe.roboflow.com/mohamed-badreldin-cp2tc/bird-eye-view },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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