sb-detecton Computer Vision Project

Here are a few use cases for this project:

1. Sports Broadcasting: The "sb-detecton" model, thanks to its ability to identify scorebugs (small digital overlays used in sports broadcasting to display the current score and other information), can be used in automated sports event analysis. It would help in recognizing, tracking, and cataloging score changes, player statistics, and other game-related details shown within the broadcast.

2. Digital Archiving: The system could be used to digitize and archive sports broadcasts, analyzing historical data such as scores, player changes, or match timelines for research or historical reference.

3. Augmented Reality Applications: In AR games that incorporate real-world sports broadcasts, the model could be used to identify and extract score and player details. With this, the model could overlay, enhance or modify the information in an AR environment for an enriched gaming experience.

4. Education or Training: The model can be used in learning environments and sports journalism courses, helping students identify important components of a sports broadcast such as scorebugs. It can also help in training machine learning models or computer vision systems with an emphasis on sports.

5. Content Moderation: The model can be used in a content management system to identify illegal streaming or unauthorized use of sports broadcasts. The system can scan and detect scorebugs in videos across various platforms, flagging infringing content for further review.