The use of AI in football | Semi-automated offside technology.
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- Опубліковано 14 жов 2024
- In this video, we discuss the use of AI in football, specifically, how FIFA uses artificial intelligence to help referees make offside decisions during the 2022 FIFA world cup in Qatar. This technology is referred to as semi-automated offside technology. It combines the data from the ball tracking and the limb tracking technology to generate an animation based on the data. What are your thoughts on the use of technologies such as AI in football? Let me know your thoughts in the comment section below.
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Link to the official technical release by FIFA: www.fifa.com/t...
#artificialintelligence #fifawordlcup
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Never thought that there was so much technology happening in the background. Thank you for the video and believe this would enable fair decisions made for the most popular game.
Thank you so much for the comment 😊
Very crisp and informative 👍
Good job !!
Thank you. 😊
Excellent content !! loved the way it was narrated and it's amazing how AI is getting implemented in our daily world.. 👍
Thank you so much for the comment 😊
Looking forward to receive more videos so that it will be helpful for people like me as well students who are looking for information about AI, it’s application and opportunity in many different areas in our daily life and career .
Thank you so much for the comment. I will make more amazing content highlighting the applications and opportunities of AI in the real world. ☺
Excellent. Very informative about AI and its application. Your video helped me to understand the use of AI and cleared my doubts of process in taking precise decision by the third umpire.
Thank you so much, Glad to hear that. ☺
Great work congratulations
Thank you 😊
This is really useful. Can you share how to link the classes in. Json files to video available in the other folder. How to prepare the data for deep learning
Thank you for the comment, but can you please elaborate on the question?
@@TheAIandDSChannel can you check the wlasl dataset in kaggle. There are different folders. One conations video another contains gloss with classes in json file. How to add those classes from the json file to the video file? How to prepare the dataset for modeling. The video file has thousands of video and the json file has classes of the corresponding videos.
Good job 👍
Thank you!
Thank you for the video👍🏻
Thank you!
Good work ! 👍
Thank you!
Great content, keep going
Thank you!
Great 👍 good job ❤
Thank you!
Sir I am about to pursue Btech in AI & DS, willt here be any issue?
Go for it. Focus on one based on your interest. Data Science field will have a better starting point based on my experience.
Good info 👌
Thank you!
I love your channel. Promotion that works > 'Promo SM'!!!