Name: Shot Tracking Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

1116 images

Explore Dataset

Here are a few use cases for this project:

Sports Analysis: The "Shot Tracking" model could be used by basketball teams or analysts to track a player's made-basket percentage during actual games or during practice sessions. Data can be utilized to enhance player's shooting skills, determining their most efficient areas on the court, and tracking progress over time.
Game Highlights: Media companies or sports broadcasters could use the model to automatically generate game highlights, focusing on successful shots. This could streamline the video editing process and make it easier to deliver exciting content to audiences quickly.
Virtual Coaching: In a virtual training scenario, this model can be used to provide real-time feedback to players practicing their shots. This could help players understand their strong and weak shooting zones and improve accordingly.
Betting & Fantasy Leagues: The model could be utilized by sports betting companies and those involved in running basketball fantasy leagues to have access to real-time data on player shooting successes. It can also help users make informed decisions.
Sports Equipment Manufacturing: This model can be used in the development of interactive sports equipment (e.g., smart hoops that track shooting accuracy), helping users practice and improve their shooting skills.

Cite This Project

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

@misc{
                            shot-tracking_dataset,
                            title = { Shot Tracking Dataset },
                            type = { Open Source Dataset },
                            author = { benharasgummer@gmail.com },
                            howpublished = { \url{ https://universe.roboflow.com/benharasgummer-gmail-com/shot-tracking } },
                            url = { https://universe.roboflow.com/benharasgummer-gmail-com/shot-tracking },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-05-08 },
                            }