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Competition Guidance Unit: Department of Information and Technology Education, Ministry of Education
Competition planning unit: Office of AI and Annotation Data Collection Project, Ministry of Education
Topic provider: Network Optimization Laboratory, Department of Computer Science and Information Engineering, National Yang Ming Chiao Tung University
Competition co -organizers : National Yang Ming Chiao Tung University Precision Sport Science Team, National Central University Department of Computer Science and Information Engineering, National Taiwan University Department of Information Engineering, Chailease Finance Co., Information Industry Development Association, Industrial Technology Research Institute
由於此競賽須由 AI CUP 官網進行報名,為避免參賽者困惑,故 AIdea 競賽頁面之報名欄位將顯示「額滿」。 再次提醒,欲參賽者請透過:https://go.aicup.tw/ 進行報名,謝謝。
According to global statistics, there are approximately 2.2 billion badminton players worldwide and more than 3 million in Taiwan. This single sport is ranked second in terms of national popularity. In recent years, badminton players have achieved outstanding performances in international competitions, gradually increasing the public attention.
In terms of badminton skills and tactics analysis, our team has proposed a match shuttlecock recording format and developed a computer vision assisted quick shuttlecock labeling program to initiate the research of badminton big data. Although many computer-assisted techniques have been used, manual shuttlecock labeling still requires manpower and time, especially for technical data identification, which requires badminton experts to perform. Through this competition, we hope to invite machine learning, image processing, and sports science expertise to develop an automatic shuttlecock labeling model with a high recognition rate, making the massive badminton information collection possible, and thus popularizing the research and application of badminton tactics analysis.
For any related inquiries, please contact: evawang.cs11@nycu.edu.tw
Competition forum: 2023 AI CUP:教電腦、看羽球、AI CUP 實戰人工智慧
This topic is not open for direct registration on the AIdea platform. Participants who wish to participate should register through the AI CUP registration system. If it is the first time for a participant to use the AI CUP registration system, please refer to the link for the AI CUP registration system process.
After completing the registration, please fill out the pre-test questionnaire.
Award | Prize Money | |
Champion | 1 team | 70,000 TWD |
Runner-up | 1 team | 50,000 TWD |
Third place | 1 team | 30,000 TWD |
Best Paper Award | 1 team | 6,676 TWD |
Honorable Mention | 14 teams | 6,666 TWD |
Date | Event Schedule |
2023/03/01 ( Wed ) | Registration opens |
2023/03/15 ( Wed ) | Training and test data sets open for download |
2023/03/22 ( Wed ) | Open for result uploading and public leaderboard scores announcement |
2023/05/02 ( Tue ) 11:59:59 am | Registration closes |
2023/05/09 ( Tue ) 11:59:59 am | Private test data set open for download and public + private answer uploading, but only public leaderboard scores will be announced |
2023/05/16 ( Tue ) 23:59:59 pm | Result uploading closes |
2023/05/17 ( Wed ) 17:00:00 pm | Private leaderboard scores announcement and open for uploading reports and codes |
2023/05/24 ( Wed ) 23:59:59 pm | Report and program code uploading deadline |
2023/06/09 ( Fri ) | Final results announcement |
2023/07 ( Tentative ) | Award ceremony and prize money distribution, all arranged by the Project Office |
$$ \sqrt{(x_{gt}-x_{pred})^2+(y_{gt}-y_{pred})^2}<6 $$
$$ \sqrt{(x_{gt}-x_{pred})^2+(y_{gt}-y_{pred})^2}<10 $$
$$ \sqrt{(x_{gt}-x_{pred})^2+(y_{gt}-y_{pred})^2}<10 $$
Assuming that there are $R$ rally videos in the data set, and the $i$th video has $S_i$ shots, the scoring formula is given below:
$$ \frac1R\sum_{i=1}^R1_{S_i=S_i^{pred}}(0.1+ASS_i) $$
in which $ASS_i$ (the Average Shot Score of content of the $i$-th rally video) is given by:
$$ ASS_i=\frac1{S_i}\sum_{j=1}^{S_i}1_{\vert HitFrame_j-HitFrame_j^{pred}\vert\leq2}SS_j $$
with $SS_j$ (the $j$-th Shot Score) given by:
$$ \begin{array}{lcl}SS_j&=&0.1+0.1\times1_{Hitter_j=Hitter_j^{pred}}\\&&+0.1\times1_{BallHeight_j=BallHeight_j^{pred}}\\&&+0.1\times1_{\left\|Landing_j-Landing_j^{pred}\right\|<6}\\&&+0.05\times1_{\left\|HitterLocation_j-HitterLocation_j^{pred}\right\|<10}\\&&+0.05\times1_{\left\|DefenderLocation_j-DefenderLocation_j^{pred}\right\|<10}\\&&+0.05\times1_{Backhand_j=Backhand_j^{pred}}\\&&+0.05\times1_{RoundHead_j=RoundHead_j^{pred}}\\&&+0.2\times1_{BallType_j=BallType_j^{pred}}\\&&+0.1\times1_{Winner_j=Winner_j^{pred}}\end{array} $$