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

Images

1089 images

Explore Dataset

Here are a few use cases for this project:

Sports Analytics and Player Performance Tracking: Use the Basketball computer vision model to automatically identify and track players, their gear, and ball movement during live games or recorded footage. Analyze player movements, shot accuracy, and on-court strategies for coaching and performance improvement purposes.
Sports Equipment and Apparel Marketing: Utilize the Basketball model to recognize and analyze the presence of specific brands of shoes, shorts, shirts, and other gear worn by players during games. This data can help determine the impactfulness of marketing campaigns and partnerships, as well as track market share and trends in the basketball apparel industry.
Automated Video Highlights and Summaries: Employ the Basketball computer vision model to analyze basketball game footage and automatically detect key moments, such as successful shots, impressive dribbling, and notable plays. These highlights can be compiled into summary videos for fans, news outlets, or social media platforms.
Injury Prevention and Rehabilitation: Apply the Basketball model to study player movements, body positions, and equipment during games to help recognize patterns that lead to injuries. Insights derived from this analysis can guide changes in training, game strategies, or equipment design to reduce the risk of injuries and assist in effective rehabilitation.
Enhanced Fan Experience and Engagement: Utilize the Basketball computer vision model in sports bars, stadiums, or at-home viewing setups to create interactive experiences for fans. Identify relevant objects within the game and display information, statistics, or trivia based on what's happening in real-time. This encourages an immersive environment, keeping fans engaged and entertained.

Cite This Project

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

@misc{
                            basketball-pgk5r_dataset,
                            title = { Basketball  Dataset },
                            type = { Open Source Dataset },
                            author = { RD },
                            howpublished = { \url{ https://universe.roboflow.com/rd-2ufrh/basketball-pgk5r } },
                            url = { https://universe.roboflow.com/rd-2ufrh/basketball-pgk5r },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-04-27 },
                            }