Competition Baseline Overview
The competition-baseline project is tailored for beginners and enthusiasts of data competitions. It focuses on providing baseline solutions for various data competitions, acting as both a thought starter for new competitors and a methodological summary of data challenges.
Why Baselines?
One might wonder why the emphasis is on baseline solutions rather than winner code snippets. The reason is that baseline solutions are simpler, easy to consolidate, and ideal for learning. They offer practical, straightforward examples suitable for those starting in the field.
What is a Data Competition?
Data competitions are events where individuals or teams work on a specific data set to solve real-world challenges using data science, machine learning, or AI techniques. Competitors can leverage and test their skills, learn new techniques, and contribute to innovative solutions.
Stay Updated with Competitions
To stay informed about the latest competitions and baseline updates, one can utilize:
- Competition Calendar: Coggle Club
- WeChat Channel: Coggle Data Science
- Zhihu Column: Machine Learning Theory and Practice
Shared Competitions
Each competition's detailed discussions and baselines can be found in the competition folder. For users experiencing slow access, there's a domestic backup available.
Noteworthy Competitions
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Global AI Security Challenge: An event focusing on AI model security and content generation fraud detection sponsored by organizations like the China Society of Image and Graphics and Ant Group. Check out Contest Problem 1 and Contest Problem 2.
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BUND Conference Deepfake Challenge: Organized by Ant Group and hosted on Kaggle, this competition tackles the fraudulent risks associated with "AI face swapping", offering a significant prize pool.
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2024 iFLYTEK AI Developer Competition: This event invites participation from academia and industry, focusing on real-world challenges, with an emphasis on creating cost-effective and personalized algorithmic solutions. Register Here.
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2024 Digital China Innovation Contest - Offshore Wind Power Forecast: Competitors are tasked with creating predictive models for offshore wind power using a variety of data sources. Learn more here.
Previous Competitions Highlights
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2023 iFLYTEK AI Developer Competition: Offered 36 application tracks and 72 algorithm tracks, covering trending AI technologies with a total prize pool of over ¥4 million.
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2022 People's Daily Algorithm Challenge: Aimed to promote AI technology development that aligns with national values through several unique competition problems like dialogue generation and social media monitoring.
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2021 Alibaba Cloud Supply Chain Competition: Focused on demand forecasting and inventory optimization, it engaged participants in supply chain challenges.
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CCF BDCI 2021 and Huawei DIGIX2021: Provided diverse problem statements ranging from product reviews extraction to small sample menu recognition, equipped with baseline solutions for various AI challenges.
Conclusion
This project serves as a valuable resource for those interested in data competitions by providing a repository of baseline solutions. It offers an opportunity for learning and growth in data science by exposing individuals to a wide range of challenges and baseline methodologies.