shukkkur/VolleyVision
Applying Deep Learning Approaches to Volleyball Data
This project helps volleyball coaches and analysts automatically extract key information from game footage. By analyzing video, it identifies the volleyball, players, and the court, then recognizes specific actions like serves, spikes, or blocks. The output can be used to understand game flow and individual player performance, making it useful for scouting, training, and strategic planning.
289 stars. No commits in the last 6 months.
Use this if you need to quickly identify and analyze specific actions, player movements, and ball trajectories in volleyball match videos for coaching or analytical purposes.
Not ideal if you require advanced game statistics or a fully deployed, ready-to-use web application, as those features are not fully implemented.
Stars
289
Forks
57
Language
Python
License
AGPL-3.0
Category
Last pushed
Jun 20, 2025
Commits (30d)
0
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