20. 혜민님담당 Computer Vision Project

aiffel

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Classes (28)
01-GK-BaekJongBeom
02-HwangHyunSoo
03-LeeSangMin
05-Osmar
06-KiSungYueng
07-NaSangHo
08-LimMinHyeok
09-KimShinjin
11-ChoYoungWook
14-Keijiro Ogawa
17-KimJinYa
19-JeongHanMin
20-LeeHanBeom
21-GK-YangHanBeen
23-YunJongGyu
24-KwonSungYoon
26-Aleksandar
29-KangSeongJin
35-PaikSangHoon
44-ChoJiHun
50-ParkDongJin
61-HanSeungGyu
88-LeeTaeSeok
90-Stanislav Iljutcenko
oppo_team
oppo_team_GK
referee sports ball
Description

Here are a few use cases for this project:

  1. Sports Analytics: This model's diverse range of classes, including various sports players, could be used for sports analysis by tracking and recording the positions, movements, and interactions of individual players during a game.

  2. Player Performance Tracking in Football Matches: The model can be used to track the performance of individual football players during a match. It can identify different players on the pitch and analyze player actions like scoring goals, assists, defending, etc., based on their positions.

  3. Augmented Reality (AR) Sports Broadcasting: This model can be used to enhance the sports broadcasting experience by automating player and referee identification in real-time sports streaming. Viewers could click on a player to get additional information, such as personal stats, career highlights, etc.

  4. Video Game Design: This model could be useful in developing more realistic sports video games, where in-game avatars replicate the movements of real-life players based on data from real matches.

  5. Training New Referees: New referees could use this model as a training tool to practice identifying players and their positions. They could also simulate games and practice making calls on different plays.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            20._dataset,
                            title = { 20. 혜민님담당 Dataset },
                            type = { Open Source Dataset },
                            author = { aiffel },
                            howpublished = { \url{ https://universe.roboflow.com/aiffel-qry08/20. } },
                            url = { https://universe.roboflow.com/aiffel-qry08/20. },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-11-13 },
                            }
                        
                    

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