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Go to 2020 Haihua AI Challange·Garbage Classification Track 1:Youth Track
Due to 2019-nCoV the end of the competition will be extended by two weeks. Timeline
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You can download the dataset of single-garbage on Tsinghua cloud disk now. Go to data for downloading.
The dataset is available. Go to：data for downloading.
With the development of China’s economy, the process of urbanization is constantly accelerating but the threat of domestic garbage to the urban environment is also increasing.The data from CAUES shows that the current annual per capita domestic garbage production in China is 440kg. In 2016, the annual volume of urban garbage nationwide was close to 300 million tons and it was growing at an annual rate of 8-10%. Take Beijing as an example: Beijing’s average daily garbage generation in 2018 was 24,000 tons. If it is transported by a clearing vehicle with a loading capacity of 2.5 tons and a length of 7 meters, the trucks loaded with this garbage can reach a total length of 47.8 kilometers after being lined up. This number is 100 times that of the Beijing Sixth Ring Road. Therefore, how to deal with domestic garbage efficiently and environmentally is urgent. The classification and treatment of domestic waste is a systematic project and a long-term and arduous task. Nowadays the whole society is paying attention to the topic of garbage classification. How to achieve the most concise and intelligent classification and the full-cycle upgrade management of waste transportation is the top priority and it is the most worthwhile field for research.
There are two main methods of garbage disposal in China: one is landfill and the other is incineration to generate electricity. The former method is too simple which will encroach a large amount of land resources and cause serious environmental pollution. Although the latter can reduce the volume of garbage through incineration to effectively however the cost of waste incineration power stations is extremely high and it will remain bout 1/3 of the original volume after incinerated. Further more a large amount of harmful exhaust gas will be generated in this process. Therefore the construction and popularization of garbage sorting is particularly important. Garbage classification can not only help improve the quality of garbage and make it more harmless but also strengthens the recycling of renewable resources.
Garbage classification is the common responsibility of all citizen however the popularization of knowledge and implementation of the task has always been a difficulty. With the development of the commercialization of artificial intelligence technology technical applications in the field of artificial intelligence including computer vision technology is penetrating into our lives. If garbage classification work could combine computer vision technology to realize the intelligent sorting then it can greatly save the labor costs and simplify the popularization of garbage classification knowledge.
In this case Zhongguancun Haihua Advanced Institute of Information Technology and Institute for interdiciplinary Information Sciences of Tsinghua University co-host the 2020 Haihua AI Challenge · Garbage Classification which opened two tracks: single-class garbage image recognition for youth track and Multi-class garbage image recognition for professional track of which participants are engineers and college students. The competition task requires players to train artificial intelligence algorithms based on the garbage data provided by the organizer to automatically identify the garbage in the images and perform multi-level classification. The competition aims to stimulate the enthusiasm for scientific and technological exploration in a wider range and excavate more valuable algorithm optimization and innovation. The total prize for the compitition is ￥300,000.
The task requires players to train the algorithm model based on the provided data set to automatically classify the garbage images in the validation set.
The competition includes two tracks and Track 2:Proffessional Track is in the current page.
Go to 2020 Haihua AI Challange·Garbage Classification Track 1:Youth Track
Haihua Institute for Frontier Information Technology is a non-profit organization established on December 27, 2018, founded by professor Andrew Chi-Chih Yao with a donation, supported by Haidian District government. The Institute aims to be one of leading new research and development institution linking between academia and industry.
Haihua Institute for Frontier Information Technology relies on the research force of Institute for Interdisciplinary Information Sciences (IIIS) ,Tsinghua University, particularly in Computational Economics, Big Data, Blockchain, Financial Technology, Atificial Intelligence and other world-class research results in many fields. Haihua Institute is committed to integrating and cultivating young scientific research talents, integrating interdisciplinary technology projects, and realizing the combination of cutting-edge research and technology. The establishment of Haihua Institute is in full compliance with the development of high-tech industrial clusters.
Facing the future development of artificial intelligence, Haihua Institute devote itself to cultivate international excellent artificial intelligence talents, to gather the world’s leading artificial intelligence research team, to promote the synergistic development of artificial intelligence innovation and to lead artificial intelligence developments across the world.
Institute for Interdisciplinary Information Sciences (IIIS) established on December 30, 2010, held the inauguration ceremony on January 15, 2011. Prof. Andrew Chi-Chih Yao, Dean of the Institute, is a world-leading computer scientist, winner of the A.M. Turing Award in 2000, member of the Chinese Academy of Sciences, foreign member of the US National Academy of Sciences and the American Academy of Arts and Sciences. The Institute aims to become one of the leading research centers on interdisciplinary information sciences in the world as well as to offer a habitat for the research and education of computer science and quantum information science in China.
The development of information science and technology has paved the way for modern civilization while computers, communication technologies and Internet, which are indispensable in our modern society, pervade all parts of human activity. The further development of information science in the 21st century depends on the exploration of new fundamentals and methods, the most effective method of which lies in the interaction between information science and other disciplines. IIIS at Tsinghua University led by Prof. Andrew Chi-Chih Yao is devoted to promoting the innovative development of information science and cultivating the next generation of scientific talents with extensive background knowledge in China. It is primarily engaged in the interaction of information science and other disciplines, physics, mathematics, as well as life science and social sciences in particular in the future while conducting effective research in emerging disciplines and nurturing talents with distinctive characteristics.
IIIS is an umbrella institute hosting four research organizations, namely Institute for Theoretical Computer Science (ITCS), Center for Quantum Information (CQI), Tsinghua-Ant Joint Research Laboratory for Digital FinTech (JRLDF), and Tsinghua University-China Quantum Technologies Corporation Joint Laboratory for Quantum Network (JLQN). IIIS also used to host four international research centers in the past few years, namely Tsinghua-MIT-CUHK Research Center for Theoretical Computer Science (CTCS), Tsinghua-Michigan Joint Center for Quantum Information (JCQI), Tsinghua-Waterloo Joint Center for Quantum Computing (JCQC), and Tsinghua-Aarhus Center for the Theory of Interactive Computation (CTIC).
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2020 Haihua AI Challenge·Waste Sorting Task 2
￥210,000
1107 participants
start
Final Submissions
2020-01-15
2020-04-30
Sponsor：Haihua Institute for Frontier Information Technology
