The First IKCEST “The Belt and Road” International Big Data Contest
To accelerate the cultivation of innovative AI talents and discover outstanding talents, particularly the talents from countries along The Belt and Road route, in global big data and AI area through the contest, the International Knowledge Centre for Engineering Sciences and Technology under the Auspices of UNESCO (IKCEST), China Knowledge Centre for Engineering Sciences and Technology(CKCEST), Baidu and Xi’an Jiaotong University (XJTU) are now jointly organizing the 2019 The 5th Baidu & XJTU Big Data Contest & The First IKCEST “The Belt and Road” International Big Data Contest, for the purpose of advancing the research, application and development of the big data industry through the combined efforts of government, enterprise and university .
We sincerely invite your university to organize students to participate in this contest.
University Computer Course Teaching Guidance Committee of Ministry of Education
University Alliance of the Silk Road
International Knowledge Centre for Engineering Sciences and Technology under the Auspices of UNESCO (IKCEST)
China Knowledge Centre for Engineering Sciences and Technology (CKCEST)
Xi’an Jiaotong University
The contest is open to the world. Universities, research institutes, enterprises, makers, individuals, etc. can register for the contest. Each team consists of 1-5 people (requirement: at least one student in each team) and can sign up for free.
3、Topic：Urban Regional Function Classification Based on Satellite Remote Sensing Images and User Behavior
With the advancement of China's urbanization and smart city construction posing new challenges to the city's refined governance, a deep understanding of urban regional functions and the grasping of the urban spatial structure are of great significance for improving the level of urban governance. This contest is based on satellite remote sensing imagery and internet user behavior, and requires the design of a functional classification model of urban area. As a multi-mode learning problem, in which the remote sensing image belongs to the image modality, and the user behavior belongs to the time-series mode, the model requires creative thinking of the contestants. (For details, please see the official website.)
The preliminary competition provides 50,000 samples, and the semi-finals provide 500,000 samples. Each sample corresponds to a city functional area. Each area provides a high-resolution satellite remote sensing image and a desensitized user's visit record. (All data is free.)
Application: April 25th, 2019 - June 10th, 2019
Preliminary Round - April 30th, 2019 -June 25th, 2019
Semi-Final Round - July 1st, 2019 - July 31st, 2019
Final Round – September, 2019, to be further advised
5. Evaluation Process
1. Time: From April 30th, the scoring system will run, and each team can submit up to 5 results per day, and the ranking list will be updated every morning at 8:00 (China time);
2. Evaluation method: The system automatically rates the submissions, and the judges confirm the results;
3. The score of the semi-final round accounts for 80%, the defense of the final round accounts for 20%.
6. Awards (before tax)
Prize money totaling RMB 150,000
International Special Prize: 1 team (RMB 50,000 and prize certificate)
International First Prize: 2 teams (RMB 30,000 each and prize certificate)
International Second Prize: 3 teams (RMB 10,000 each and prize certificate)
International Third Prize: 10 teams (RMB 1,000 each and prize certificate)
Other awards: Teams entering the semi-finals have the chance to access the green channel of Baidu's campus recruitment.
7. Official Contest Website (will be launched on April 25th)
Official Contest Website: www.ikcest.org/bigdata2019/?from=009
Please join the QQ Contest Communication Group after application: 143749418 (Only for registered contestants. Please indicate the name of your team for evaluation and approval by the administrator)
Note: The Organizing Committee reserves the right to adjust the contest timeline if necessary, and has the final right of interpretation of the rules.