20-3-23 2-1 Object Detection Dataset and Pre-Trained Model by PROgrammers

Images

868 images

Explore Dataset

Here are a few use cases for this project:

Sports Media Analysis: This model can be used by sports media outlets for a deeper, real-time analysis of football matches. This includes player count, referee's involvement, tracking the ball, and movement of goalkeepers. The information can be used in commentaries, reviews, and post-match analysis.
Gaming Industry: The "20-3-23 2-1" model can be utilized in the game development industry to improve the realism of football games. It can help generate real-time data about player behaviors and actions which can be used for creating advanced gameplay algorithms.
Sports Betting Companies: These companies can use this model to gather detailed statistics about players' performance, referees' activity, and goalkeepers' defense strategies. This elaborate information could offer more accurate and diversified bet options.
Player Performance Tracking: Football clubs can use this model for tracking the performance and growth of their players during matches. It provides useful data regarding a player's movement on the field, their interaction with the ball, up against different opposition, etc.
Virtual Reality Training: Training centers or clubs can use this model to create VR based training modules. Identifying specific players, referees, the ball, and goalkeepers can help design simulations that reflect real game situations, helping players to enhance their tactics and skills.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            20-3-23-2-1_dataset,
                            title = { 20-3-23 2-1 Dataset },
                            type = { Open Source Dataset },
                            author = { PROgrammers },
                            howpublished = { \url{ https://universe.roboflow.com/programmers/20-3-23-2-1 } },
                            url = { https://universe.roboflow.com/programmers/20-3-23-2-1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-18 },
                            }