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Ball Game 2 Computer Vision Project

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Trained Model API

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YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            ball-game-2_dataset,
                            title = { Ball Game 2 Dataset },
                            type = { Open Source Dataset },
                            author = { Dylan Steinkruger },
                            howpublished = { \url{ https://universe.roboflow.com/dylan-steinkruger-kxobs/ball-game-2 } },
                            url = { https://universe.roboflow.com/dylan-steinkruger-kxobs/ball-game-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-07-27 },
                            }
                        

Connect Your Model With Program Logic

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

Last Updated

5 months ago

Project Type

Object Detection

Subject

Balls

Views: 274

Views in previous 30 days: 0

Downloads: 20

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

\ ball-grounded ball-possessed down-indicator line-to-gain-indicator player-color player-white referee