Faster RCNN

Ball and Goalpost Detection 2

Object Detection

Roboflow Universe Faster RCNN Ball and Goalpost Detection 2

Ball and Goalpost Detection 2 Computer Vision Project

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Here are a few use cases for this project:

  1. Sports Analytics: This model can be utilized in professional and amateur sports for real-time analytics, identifying the position and movement of the ball, and detecting goalposts. It can help provide insights on player performance, goal attempts, successful scoring, and tracking team statistics.

  2. Virtual Referee Assistant: The model can be used to aid referees in decision-making processes during live football matches or replays. It can help to determine whether the ball has passed through the goalposts, thus supporting in making accurate goal/non-goal decisions.

  3. Sports Broadcast Enhancement: This model can be employed in sports broadcasting to provide viewers with an enhanced viewing experience. It can detect when the ball is near the goalpost, triggering instant replays, graphics, or strategic analysis.

  4. Simulation and Video Games: This technology can be used in the development of more immersive and interactive sports simulation and video games. It can provide real-time feedback to enhance player performance within the game.

  5. Training and Coaching: Coaches can use this model to improve player training, analyzing the trajectory of the ball towards the goalpost, identifying patterns, and providing personalized feedback to players.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            ball-and-goalpost-detection-2_dataset,
                            title = { Ball and Goalpost Detection 2 Dataset },
                            type = { Open Source Dataset },
                            author = { Faster RCNN },
                            howpublished = { \url{ https://universe.roboflow.com/faster-rcnn-ufqpf/ball-and-goalpost-detection-2 } },
                            url = { https://universe.roboflow.com/faster-rcnn-ufqpf/ball-and-goalpost-detection-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-02-29 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Ball and Goalpost Detection 2 project in your project.

Source

Faster RCNN

Last Updated

2 years ago

Project Type

Object Detection

Subject

ball-goalpost

Classes

ball goalpost

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Views in previous 30 days: 1

Downloads: 1

Downloads in previous 30 days: 0

License

MIT