摘要：內容來自，人工智能數據科學比賽整理平臺。大賽面向全球高校在校生開放，旨在提升高校學生對數據分析與處理的算法研究與技術應用能力，探索大數據的核心科學與技術問題，嘗試創新大數據技術，推動大數據的產學研用，本次大賽鼓勵高校教師參與指導。

內容來自 DataSciComp，人工智能/數據科學比賽整理平臺。
Github：iphysresearch/DataSciComp
本項目由 ApacheCN 強力支持。
微博 | 知乎 | CSDN | 簡書 | OSChina | 博客園

http://www.worldrobotconferen...

5月9日-7月9日, 2019 // Host by DataFountain // Prize: ￥100,000

Note: 腦-機接口（BCI）是指通過對神經系統電活動和特征信號的收集、識別及轉化，使人腦發出的指令能夠直接傳遞給指定的機器終端，從而使人對機器人的控制和操作更為高效便捷，該項技術在人與機器人的交流溝通領域有著重大創新意義和使用價值，其已廣泛應用于助殘康復、災害救援、娛樂體驗等多個領域，并在改善殘疾人生活質量中做出了巨大貢獻。

Entry Deadline:

https://datahack.analyticsvid...

May 25 - Jun 10, 2019 // Host by Analytics Vidhya // Prize: Datahack Summit 2019 Tickets & Job Opportunities with AV

Note: Do you feel passionate about solving problems through deep learning?
Do you aspire to take data science to millions of people out there? Can the leader in you make people follow data science out of sheer passion?
If the answer to all the questions is yes – look no more. Analytics Vidhya is looking for evangelists who can carry and deliver their baton to the world.

Entry Deadline:

https://dianshi.baidu.com/com...

April 30th - September, 2019 // Host by 點石 // Prize: RMB150,000

Note: 2019 The 5th Baidu & XJTU Big Data Competition And The First IKCEST "One Belt One Road" International Big Data Competition.
Build models to classify the functions of urban areas with data of satellite images and user behavior from given geographical areas.

Entry Deadline:

https://www.biendata.com/comp...

06/18 - 06/12 2019 // Host by Biendata // Prize: 40,000元

Note: 科學論文雖然代表了人類對自然最前沿的理解，但大眾卻很難讀懂論文。所以論文發表后，科研機構經常會發布研究新聞稿解釋論文中的研究。本次比賽的任務是給定一篇科研新聞，找到這篇新聞描述的論文。
提交數據格式: 新聞數據測試集press_test.csv中的每篇新聞都是在報道論文測試集paper_test.csv中的一篇論文。對于每篇新聞，選手需要從paper_test.csv中選出三篇最相關的論文。參賽者需要在訓練集上訓練模型，并對新聞和論文的相關行進行預測，最終可以標注 Top 3 的匹配結果。注意：預測出的匹配論文之間存在順序，按照預測得分，從大到小排序。
本次黑客松任務即掛靠這次會議。在4天的時間里，參賽選手需要通過平臺提交預測結果。前三名選手將獲得4萬元獎金，并被邀請到會議上介紹獲獎方法。

Entry Deadline:

https://www.biendata.com/comp...

04/29 - 06/10 2019 // Host by Biendata & CVPR 2019 // Prize: $20,000

Note: Objects365是一個全新的數據集，旨在促進對自然場景不同對象的檢測研究。Objects365在638K張圖像上標注了365個對象類，訓練集中共有超過1000萬個邊界框。因此，這些標注涵蓋了發生在各種場景類別中的常見對象。

Entry Deadline:

https://www.biendata.com/comp...

04/29 - 06/10 2019 // Host by Biendata & CVPR 2019 // Prize: $10,000

Note: CrowdHuman是目前最大的人體檢測數據集，帶有充分的標注信息，圖片來源具有豐富的多樣性。包含15000張訓練集，4370張驗證集和5000張測試集，在數據集中，總共有340K個人體目標，平均每張圖片有22.6個人，數據集中有各種各樣的遮擋場景。每個人的實例都有一個頭部邊界框、可見區域邊界框和全身邊界框。

Entry Deadline:

https://www.kesci.com/home/co...

2019-04-28 至 2019-06-25 // Host by Kesci // Prize: 30萬元人民幣

Note: 2019大數據挑戰賽（以下簡稱“大賽”）是在中國高校計算機大賽主辦單位的指導下，由清華大學、南開大學與字節跳動公司聯合主辦，亞馬遜AWS提供資源支持以及科賽提供競賽平臺支持，并以企業真實場景和實際數據為基礎的高端算法競賽。大賽面向全球高校在校生開放，旨在提升高校學生對數據分析與處理的算法研究與技術應用能力，探索大數據的核心科學與技術問題，嘗試創新大數據技術，推動大數據的產學研用，本次大賽鼓勵高校教師參與指導。
預選賽——文本情感分類模型
正式賽題——文本點擊率預估（5月26日開賽）

Entry Deadline:

https://competitions.codalab....

May 27 - June 15, 2019 // Host by CodaLab // Prize: NaN

Note: Our goal is to make colorization from input images.
The normal images are composed of RGB values, but we can represent these images into LAB values.
In here, L means lightness.
We cannot know the color of the image without the A and B values.

Entry Deadline:

https://tianchi.aliyun.com/co...

April 11 - September, 2019 // Host by 天池 & YOUKU // Prize: ￥230000

Note: 比賽要求通過訓練樣本對視頻增強和超分模型進行建模，對測試集中的低分辨率視頻樣本預測高分辨率視頻。其中，高分辨率視頻來自優酷高清媒資庫，優酷擁有視頻的知識產權。低分辨率視頻的生成模型是模擬實際業務中的噪聲模式。

Entry Deadline:

https://www.kesci.com/home/co...

2019-04-25 至 2019-07-31 // Host by Kesci // Prize: ￥ 200,000 + SAIL獎推薦

Note: Under 5G network environment, Self-driving car faces new opportunities and challenges. International teams are invited to join us at LinGang’s Self-driving car closed test zone to conduct real road test and virtual scene test.
1、無人駕駛 5G應用挑戰 / Self-driving Car 5G application challenge
2、自動駕駛算法虛擬場景挑戰 / Automatic driving algorithm Virtual scene Challenge

Entry Deadline:

https://www.kaggle.com/c/jigs...

Now - July 10, 2019 // Host by Kaggle // Prize: $65,000

Note: This is a Kernels-only competition.
Detect toxicity across a diverse range of conversations

Entry Deadline:

https://l2rpn.chalearn.org

May 15th - Jul 14th, 2019 // Host by CodaLab & IJCNN 2019 // Prize: 3000$ travel expenses

Note: The challenge is based on an environment (and not solely a dataset) in which an agent can learn by interactions.

Entry Deadline:

https://sites.google.com/view...

15/03 - 12/08, 2019 // Host by ICMI 2019 // Prize: NaN

Note: The spoken language understanding (SLU) is a key component of spoken dialogue system (SDS), parsing user"s utterances into corresponding semantic concepts. To fully investigate these problems and promote application of spoken dialogue system, we will release a multi-turn task-oriented Chinese spoken dialog dataset and organize the first open, audio-text based Chinese Task Oriented Spoken Language Understanding Challenge. This challenge consists of two sub-challenges:
SLU in domain
Domain adaptation of SLU

Entry Deadline:

https://www.kaggle.com/c/inst...

Now - June 20, 2019 // Host by Kaggle // Prize: $5,000

Note: A synchronous Kernels-only competition

Entry Deadline:

https://www.kaggle.com/c/data...

May 8th - June 21, 2019 // Host by Kaggle // Prize: $15,000

Note: Help the City of Los Angeles to structure and analyze its job descriptions.
The goal is to convert a folder full of plain-text job postings into a single structured CSV file and then to use this data to: (1) identify language that can negatively bias the pool of applicants; (2) improve the diversity and quality of the applicant pool; and/or (3) make it easier to determine which promotions are available to employees in each job class.

Entry Deadline:

https://virtualcreatures.gith...

Now - June 23, 2019 // Host by GECCO 2019 // Prize: NaN

Note: The purpose of the contest is not to build a system to solve a task better than any other system; rather, the goal is to engage our imagination and creativity---to expand our conception of life and intelligence, and how these things might materialize.

Entry Deadline:

http://vipl.ict.ac.cn/homepag...

April 11 - August 8, 2019 // Host by ICMI 2019 // Prize: ~30,000 RMB

Note: This challenge aims at exploring the complementarity between visual and acoustic information in real-world speech recognition systems, and will be held at ACM International Conference on Multimodal Interaction (ICMI) 2019.
Sub-challenge 1: Closed-set word-level speech recognition
Sub-challenge 2: Open-set word-level speech recognition
Sub-challenge 3: Visual keyword spotting

Entry Deadline:

http://temu.bsc.es/pharmaconer/

March 18 - November 3, 2019 // Host by CodaLab // Prize: 1,700€x2

Note: For this task we have prepared a manually classified collection of clinical case sections derived from Open access Spanish medical publications, named the Spanish Clinical Case Corpus (SPACCC). The corpus contains a total of 1000 clinical cases / 396,988 words. It is noteworthy to say that this kind of narrative shows properties of both, the biomedical and medical literature as well as clinical records.
Track 1: NER offset and entity classification.
Track 2: Concept indexing.

Entry Deadline:

http://campus.chinahr.com/pag...

2019-05-27 至 2019-08-31 // Host by 中電科大數據研究院有限公司 // Prize: ￥14萬

Note: 國內外全日制在校大學生（包括全日制本科、碩士、博士研究生等非2019屆畢業生），熱愛算法建模、熱愛數據分析、熱愛應用開發等均可參賽。
本輪賽事僅設1題: 政策公文中的語義搜索(需要根據輸入的問題，返回對應的政策內容，以及相應的公文名稱和具體條例)

Entry Deadline:

http://www.industrial-bigdata...

5月24日 - 7月22日, 2019 // Host by 中國信息通信研究院 // Prize: ￥200,000

Note: 第三屆工業大數據創新競賽
Background: For large rotating machines, due to the high rotating speed and tremendous momentum of the rotor, the centrifugal force may lead to the loose or flying apart of the rotor parts, which brings a great threat to the operation safety of the equipment. This type of fault could lead to high maintenance cost and significant economic loss. The capture of the early symptom of rotor faults is relatively difficult and has become a worldwide challenge in the field of prognostics. It will bring significant safety value and economic benefits if the big data-based methods can detect and predict incipient faults.
賽事簡要：大型旋轉機組設備高速旋轉、動能巨大，轉子部件脫落故障給設備安全運行帶來巨大威脅。而且這類故障維修成本高、耗時長，早期征兆難以捕捉，是故障預測的世界性難題。如果能通過大數據方法，實現此故障征兆的早期發現和程度預測，將帶來顯著的安全價值和經濟效益。

Entry Deadline:

http://www.recsyschallenge.co...

March - September, 2019 // Host by ACM RecSys conference // Prize: NaN

Note: This year"s challenge is to develop a session-based and context-aware recommender system to adapt a list of accommodations according to the needs of the user.

Entry Deadline:

http://cail.cipsc.org.cn

5月15日 - 7月26日, 2019 // Host by 中國中文信息學會 (CIPS) // Prize: 60,000RMB

Note: 本次挑戰賽聚焦在法律要素抽取、法律閱讀理解、相似案例匹配三個真實場景的任務，提供海量的已標注的法律文書數據，旨在為研究者提供學術交流平臺，推動語言理解和人工智能領域技術在法律領域的應用，促進法律人工智能事業的發展。今年預計于10月在北京舉辦頒獎會和技術研討會。誠邀學術界和工業界的研究者和開發者積極參與，比賽中發現的重大基礎性問題，在國家自然科學基金專項資金中將予以重點考慮！

Entry Deadline:

https://hfl-rc.github.io/cmrc...

May 23th - Oct 18th, 2019 // Host by CodaLab & 中國中文信息學會計算語言學專業委員會（CIPS-CL） & 哈工大訊飛聯合實驗室（HFL） & 科大訊飛股份有限公司 // Prize: 35,000 CNY

Note: 第三屆“訊飛杯”中文機器閱讀理解（CMRC 2019）的任務是句子級填空型閱讀理解（Sentence Cloze-Style Machine Reading Comprehension, SC-MRC）。 根據給定的一個敘事篇章以及若干個從篇章中抽取出的句子，參賽者需要建立模型將候選句子精準的填回原篇章中，使之成為完整的一篇文章。本任務需要機器能夠根據上下文的邏輯關系判斷空缺部分的內容，進一步提升了機器閱讀理解的難度。

Entry Deadline:

https://www.egr.msu.edu/coinl...

Now - June 30, 2019 // Host by GECCO 2019 // Prize: NaN

Note: The goal of this competition is to provide a platform for researchers in computational intelligence working on multi-component optimization problems.

Entry Deadline:

https://bbcomp.ini.rub.de

February 4 - June 30, 2019 // Host by GECCO 2019 // Prize: NaN

Note: The Black Box Optimization Competition is the first competition platform in the continuous domain where test problems are truly black boxes to participants. The only information known to optimizer and participant is the dimension of the problem, bounds on all variables, and a budget of black box queries. The competition covers single- and multi-objective optimization.

Entry Deadline:

http://www.spotseven.de/gecco...

End of January/Start of February - June 30, 2019 // Host by GECCO 2019 // Prize: NaN

Note: The task of this years competition is to develop an anomaly detection algorithm for the water- and environmental data set. Early identification of anomalies in water quality data is a challenging task.

Entry Deadline:

https://www.biendata.com/comp...

04/20 - 07/25 2019 // Host by Biendata // Prize: ￥43,000

Note: 在本次任務中，我們重點關注人物之間的關系抽取研究，簡稱IPRE（Inter-Personal Relationship Extraction）。給定一組人物實體對和包含該實體對的句子，找出給定實體對在已知關系表中的關系。

Entry Deadline:

https://kelvins.esa.int/satel...

Feb. 1, 2019 - July 1, 2019 // Host by Kelvins // Prize: NaN

Note: One camera, one image, one pose.
In this challenge, you are tasked to estimate the pose of the Tango spacecraft from its synthetic and real images captured using computer graphics and a robotic testbed, respectively.

Entry Deadline:

https://competitions.codalab....

Nov. 19, 2018 - July 1, 2019 // Host by CodaLab // Prize: NaN

Note: The Microsoft AI Challenge India 2018 is over now. The page is active for learning purposes only. Problem statement:
"Given a user query and candidate passages corresponding to each, the task is to mark the most relevant passage which contains the answer to the user query."

Entry Deadline:

https://www.biendata.com/comp...

05/20 - 07/08 2019 // Host by Biendata // Prize: $19,000

Note: SMP 2019文本溯源評測由中國中文信息學會社會媒體處理專業委員會主辦，黑龍江工程學院承辦。本次技術評測以科研立項或成果創新型審查為應用背景，文本溯源的目標是判斷一個文本的內容是否復制或改編于另外一個或者多個文本。文本溯源技術在學術誠信檢測、搜索引擎優化等領域有廣泛應用。

Entry Deadline:

https://www.kaggle.com/c/data...

Feb 26th - April 30th, 2019 // Host by Kaggle // Prize: $15,000

Note: Match career advice questions with professionals in the field

Entry Deadline:

https://www.biendata.com/comp...

04/20 - 07/30 2019 // Host by Biendata // Prize: ￥10,000

Note: 輸入文件包括若干行中文短文本。輸出文本每一行包括此中文短文本的實體識別與鏈指結果，需識別出文本中所有mention（包括實體與概念），每個mention包含信息如下：mention在給定知識庫中的ID，mention名和在中文短文本中的位置偏移。

Entry Deadline:

https://www.4paradigm.com/com...

Apr 1st - Jul 16th, 2019 // Host by 4Paradigm & ChaLearn & CodaLab // Prize: $65,000

Note: The 5th AutoML Challenge: AutoML for Temporal Relational Data
In this challenge, participants are invited to develop AutoML solutions to binary classification problems for temporal relational data.

Entry Deadline:

https://sites.google.com/view...

February - July, 2019 // Host by ICMI 2019 // Prize: NaN

Note: The goal of this challenge is to extend and carry forward the new common platform for evaluation of emotion recognition methods in real-world conditions defined in EmotiW2018 Grand Challenge held at the ACM International Conference on Multimodal Interaction 2018. This year there will be three sub-challenges:
Audio-video based emotion recognition sub-challenge (AV)
Group-level Cohesion sub-challenge (GC)
Engagement prediction in the Wild (EW)

Entry Deadline:

https://competitions.codalab....

Feb. 1 - Aug, 2019 // Host by CodaLab & KONVENS 2019 // Prize: NaN

Note: This task is focusing on classifying German books into their respective hierarchically structured writing genres using short advertisement texts (Blurbs) and further meta information such as author, page number, release date, etc.

Entry Deadline:

https://sigir-ecom.github.io/...

May 17 - July 25, 2019 // Host by EvalAI & The 2019 SIGIR Workshop On eCommerce // Prize: NaN

Note: The challenge data consists of a set of popular search queries and a fair size set of candidate documents. Challenge participants make a boolean relevant-or-not decision for each query-document pair. Human judgments are used to create labeled training and evaluation data for a subset of the query-document pairs. Evaluation of submissions will be based on the traditional F1 metric, incorporating components of both recall and precision.

Entry Deadline:

https://tianchi.aliyun.com/co...

6月05 - 9月25, 2019 // Host by 天池 // Prize: ￥300000

Note: 本次大賽，我們選擇了具有獨特的地理環境、氣候條件以及人文特色的貴州省興仁市作為研究區域，聚焦當地的特色優勢產業和支柱產業——薏仁米產業， 以薏仁米作物識別以及產量預測為比賽命題，要求選手開發算法模型，通過無人機航拍的地面影像，探索作物分類的精準算法，識別薏仁米、玉米、烤煙三大作物類型，提升作物識別的準確度，降低對人工實地勘察的依賴，提升農業資產盤點效率，并結合產量標注數據預測當年的薏仁米產量，提升農業精準管理能力。

Entry Deadline:

https://www.biendata.com/comp...

04/20 - 07/30 2019 // Host by Biendata // Prize: ￥15,000

Note: 本評測任務為基于中文知識圖譜的自然語言問答，簡稱CKBQA （Chinese Knowledge Base Question Answering）。即輸入一句中文問題，問答系統從給定知識庫中選擇若干實體或屬性值作為該問題的答案。問題均為客觀事實型，不包含主觀因素。理解并回答問題的過程中可能需要進行實體識別、關系抽取、語義解析等子任務。這些子任務的訓練可以使用額外的資源，但是最終的答案必須來自給定的知識庫。

Entry Deadline:

https://datahack.analyticsvid...

24 Jan - 25 July, 2019 // Host by Analytics Vidhya // Prize: INR 50,000

Note: You are expected to build a high performing recommendation engine using any framework of your choice. You are encouraged to use IBM Watson Studio Apache spark based Jupyter notebook.

Entry Deadline:

http://wider-challenge.org/20...

May 8 - July 25, 2019 // Host by CodaLab & ICCV 2019 & 商湯 & Amazon // Prize: cash prize and AWS credits

Note: Following the success of the First WIDER Challenge Workshop, we organize a new round of challenge in conjunction with ICCV 2019. The challenge centers around the problem of precise localization of human faces and bodies, and accurate association of identities. It comprises of four tracks:

http://wider-challenge.org/co... aims at soliciting new approaches to advance the state-of- the-art in face detection.

https://competitions.codalab.... has the goal of gathering effective and efficient approaches to address the problem of pedestrian detection in unconstrained environments.

https://competitions.codalab.... presents an exciting challenge of searching cast across hundreds of movies.

https://competitions.codalab.... aims to seek new approaches to search person by natural language.

Entry Deadline:

https://ai.ppdai.com/mirror/g...

2019-05-28 至 2019-07-27 // Host by 拍拍貸·AI & DC // Prize: ￥370000

Note: 本次比賽以互聯網金融信貸業務為背景，參賽選手需要利用提供的數據，預測資產組合在未來一段時間內每日的回款金額。賽題涵蓋了信貸違約預測、現金流預測等金融領域常見問題，同時又是復雜的時序問題和多目標預測問題。

Entry Deadline:

https://www.biendata.com/comp...

05/01 - 07/30 2019 // Host by Biendata // Prize: ￥15,000

Note: 本次評測任務的主要目標是從真實的新聞語料中，抽取特定事件類型的主體。即給定一段文本T，和文本所屬的事件類型S，從文本T中抽取指定事件類型S的事件主體。

Entry Deadline:

https://sites.google.com/view...

May 27 - July 30, 2019 // Host by CodaLab // Prize: NaN

Note: DeepFashion2 (github) is a comprehensive fashion dataset. It contains 491K diverse images of 13 popular clothing categories from both commercial shopping stores and consumers. It totally has 801K clothing clothing items, where each item in an image is labeled with scale, occlusion, zoom-in, viewpoint, category, style, bounding box, dense landmarks and per-pixel mask.There are also 873K Commercial-Consumer clothes pairs.
The dataset is split into a training set (391K images), a validation set (34k images), and a test set (67k images).

https://competitions.codalab....

https://competitions.codalab....

Entry Deadline:

http://contest.cfdsj.cn/index...

2019-05-15 至 2019-10-31 // Host by 長風大數據平臺 // Prize: ￥5萬

Note: 第三屆“長風杯”大數據分析與挖掘競賽是一場面向全國普通高等院校經濟與管理類、信息技術類等專業在校大學生的全國性賽事。
長風大數據平臺將向本次競賽的參賽者免費開放物流、電商、交通、公共、貿易等多行業的海量數據資源；其他生產型/服務型企業所提供真實數據。

Entry Deadline:

https://www.kaggle.com/c/reco...

Now - August 8, 2019 // Host by Kaggle // Prize: NaN

Note: Can you determine if two individuals are related?

Entry Deadline:

https://tianchi.aliyun.com/co...

6月24 - 9月, 2019 // Host by 天池 // Prize: ￥十五萬

Note: 首屆中文NL2SQL挑戰賽，使用金融以及通用領域的表格數據作為數據源，提供在此基礎上標注的自然語言與SQL語句的匹配對，希望選手可以利用數據訓練出可以準確轉換自然語言到SQL的模型。

Entry Deadline:

https://competitions.codalab....

Jan. 5 - Aug 8, 2019 // Host by CodaLab & ISBI 2019 // Prize: NaN

Note: The goal of the SegTHOR challenge is to automatically segment 4 OAR: heart, aorta, trachea, esophagus. Participants will be provided with a training set 40 CT scans with manual segmentation. The test set will include 20 CT scans.

Entry Deadline:

https://emw.ku.edu.tr/?event=...

6/7 - 9/2, 2019 // Host by CodaLab & Euro CSS 2019 // Prize: NaN

Note: We use English online news archives from India and China as data sources to create the training and test corpora. India and China are the source and the target countries respectively in our setting.

Entry Deadline:

https://ariel-datachallenge.a...

~ 15th of August 2019 // Host by ECML-PKDD 2019 // Prize: Eternal gratitude ... or a bottle of wine.

Note: ARIEL, a mission to make the first large-scale survey of exoplanet atmospheres, has launched a global competition series to find innovative solutions for the interpretation and analysis of exoplanet data. You can find our press release here.

https://ariel-datachallenge.a... invites professional and amateur data scientists around the world to use Machine Learning (ML) to remove noise from exoplanet observations caused by starspots and by instrumentation.

https://ariel-datachallenge.a... that focuses on the retrieval of spectra from simulations of cloudy and cloud-free super-Earth and hot-Jupiter data was also launched today.

https://ariel-datachallenge.a... to create pipelines for faster, more effective processing of the raw data gathered by the mission will be launched in June.

Entry Deadline:

http://challenge.xfyun.cn/2019/

5月21日 - 10月14日, 2019 // Host by 訊飛開放平臺 // Prize: 100萬 RMB

Note: "iFLYTEK AI 開發者大賽"是由科大訊飛發起的頂尖人工智能競賽平臺，匯聚產學研各界力量，面向全球開發者發起數據算法及創新應用類挑戰，推動人工智能前沿科學研究和創新成果轉化，培育人工智能產業人才，助力人工智能生態建設。 2019 年，第二屆 iFLYTEK AI 開發者大賽將繼續開放科大訊飛優質大數據資源及人工智能核心技術，面向全球開發者發起數據算法及創新應用類挑戰。
阿爾茨海默綜合癥預測挑戰賽: 基于老年人在特定圖片描述任務中產生的語音，給定語音數據中提取出的聲學特征、主被試對話的切分信息、人工文本轉寫結果以及對應的認知標簽，建立2分類模型預測認知標簽（正?；蛘J知障礙）。
移動廣告反欺詐算法挑戰賽: 移動廣告反欺詐需要強大的數據作為支撐，本次大賽提供了訊飛AI營銷云海量的現網流量數據作為訓練樣本，參賽選手需基于提供的樣本構建模型，預測流量作弊與否。
大數據應用分類標注挑戰賽: 選手基于提供的應用二級分類標簽以及若干隨機應用標注樣本，實現應用分類標注算法（每個應用一個標簽，以應用最主要屬性對應的標簽為該應用的標簽）。
工程機械核心部件壽命預測挑戰賽: 由中科云谷科技有限公司提供某類工程機械設備的核心耗損性部件的工作數據，包括部件工作時長、轉速、溫度、電壓、電流等多類工況數據。希望參賽者利用大數據分析、機器學習、深度學習等方法，提取合適的特征、建立合適的壽命預測模型，預測核心耗損性部件的剩余壽命。

Entry Deadline:

https://www.kaggle.com/c/cham...

Now - August 28, 2019 // Host by Kaggle // Prize: $30,000

Note: Can you measure the magnetic interactions between a pair of atoms?

Entry Deadline:

http://challenge.ai.iqiyi.com...

May, 25th - May, 31st, 2018 // Host by 愛奇藝|iQIYI & AVS Workgroup // Prize: NaN

Note: The participants are encouraged to investigate neural network based methods (especially convolutional neural networks) with different network structures, in a hope of achieving the best quality with lightest network configuration for a good tradeoff of efficiency and complexity.

Entry Deadline:

https://youtube-vos.org/chall...

May. 20 - Sep. 5 2019 // Host by CodaLab & ICCV 2019 // Prize: NaN

Note: As a continuous effort to push forward the research on video object segmentation tasks, we plan to host a second workshop with a challenge based on the YouTube-VOS dataset, targeting at more diversified problem settings, i.e., we plan to provide two challenge tracks in this workshop.

https://youtube-vos.org/datas...

https://youtube-vos.org/datas...

Entry Deadline:

https://research.fb.com/progr...

May 3 - Sep 16, 2019 // Host by EvalAI & Facebook // Prize: $13,000 USD x2

Note: In the absence of accurate gaze labels, we propose to advance the state of the art by carefully designing two challenges that combine human annotation of eye features with unlabeled data. These challenges focus on deeper understanding of the distribution underlying human eye state. We invite ML and CV researchers for participation.

https://evalai.cloudcv.org/we...

https://evalai.cloudcv.org/we...

Entry Deadline:

https://exoplanet-imaging-cha...

May 16th - Sep 16th, 2019 // Host by CodaLab // Prize: NaN

Note: This competition is composed of two sub-challenges focusing on the two most widely used observing techniques: pupil tracking (angular differential imaging, ADI) and multi-spectral imaging combined with pupil tracking (multi-channel spectral differential imaging, ADI+mSDI).

Entry Deadline:

https://odir2019.grand-challe...

May 18 - Sep 25, 2019 // Host by Grand Challenges & 北京大學 // Prize: 10,00,000 RMB (140,000+ USD)

Note: 北京大學"智慧之眼"國際眼科疾病智能識別競賽
The SG will provide participants with 5,000 structured desensitized ophthalmologic image set of patient"s age, sex, binocular color fundus photos and doctors" diagnostic report.
上工醫信將為參賽者提供5000組包含患者的性別、年齡、雙眼彩色眼底照片和醫生印象報告等的結構化脫敏后眼科的數據集。
The purpose of this challenge is to compare approaches of ophthalmic disease classification in color fundus images. Participant will have to submit classification results of eight categories for all the testing data. For every category, a classification probability (value from 0.0 to 1.0) denotes risk of a patient diagnosed with corresponding category.
該競賽的目的是比較基于彩色眼底圖像進行眼科疾病分類的不同方法。 參與者必須提交所有測試數據集的八個類別的分類結果。 對于每個類別，分類概率（值從0.0到1.0）表示患者被診斷為具有相應類別的可能性/風險。

Entry Deadline:

http://qfc-c.com

2019-04-19 至 2020-03-21 // Host by 珠海市橫琴新區金融服務中心 // Prize: ￥140萬

Note: 第二屆中國（橫琴）國際高校量化金融大賽
參賽要求 參賽者應根據題目要求，完成一篇包括量化金融策略原理、模型的假設、建立和求解、計算方法的設計、分析和檢驗、模型的改進等方面的書面報告（即答卷）；并在規定競賽期間內，將參賽策略的市場運行進行模擬仿真競賽。根據參賽策略的測試結果（包括樣本內和樣本外）的收益水平及市場風險防范的效果等統一指標打分評比，以市場的標準來決定優劣，評價策略的回測和實盤模擬表現，同時考慮策略邏輯的穩健性和創新性。競賽評獎以策略的合理性、建模的創新性、測試策略的市場適應性及收益風險水平等結果為主要標準。
Requirements Participants should write a report covering quantitative financial strategy theories 1) Model theoretical hypothesis and description of quantitive model 2) Data analysis 3) Strategy back testing results and performance analysis. According to the requirements of the competition, participants’ strategies will be back tested and paper traded during the required period. Evaluation and scoring will base on unified measurements including return, volatility, max drawdown of the strategies and so on. The determination of merits and evaluation of strategy back test and paper trading performance will be made according to market standards, while the robustness and innovation of the strategic logic will also be taken into consideration. Key criteria will include the rationality of the strategy, the creativeness of the model, the market adaptability of the testing strategy and the level of return and risk.

Entry Deadline:

http://ai.bu.edu/visda-2019/

April 9 - Sept. 27, 2019 // Host by CodaLab & ICCV 2019 // Prize: NaN

Note: We are pleased to announce the 2019 Visual Domain Adaptation (VisDA2019) Challenge! It is well known that the success of machine learning methods on visual recognition tasks is highly dependent on access to large labeled datasets. Unfortunately, performance often drops significantly when the model is presented with data from a new deployment domain which it did not see in training, a problem known as dataset shift. The VisDA challenge aims to test domain adaptation methods’ ability to transfer source knowledge and adapt it to novel target domains.
This challenge includes two tracks:

https://competitions.codalab....

https://competitions.codalab....

Entry Deadline:

https://alchemy.tencent.com

5/22 - 9/30, 2019 // Host by CodaLab & Tencent Quantum Lab 騰訊量子實驗室 // Prize: total ￥100,000 RMB

Note: The Tencent Quantum Lab has recently introduced a new molecular dataset, called Alchemy, to facilitate the development of new machine learning models useful for chemistry and materials science.
The dataset lists 12 quantum mechanical properties of 130,000+ organic molecules comprising up to 12 heavy atoms (C, N, O, S, F and Cl), sampled from the GDBMedChem database. These properties have been calculated using the open-source computational chemistry program Python-based Simulation of Chemistry Framework (PySCF).

Entry Deadline:

https://micronet-challenge.gi...

June 1, 2018 - Dec 13, 2019 // Host by NeurIPS 2019 // Prize: NaN

Note: The competition consists of three different tasks. Contestants are free to submit entries for one, two, or all three tasks. Contestants are allowed to enter up to three models for each task, but will be ranked according to their top entry in each task. Entries can only be trained on the training data for the task they are entered in. No pre-training, or use of auxiliary data is allowed.

http://image-net.org/index: The de facto standard dataset for image classification. The dataset is composed of 1,281,167 training images and 50,000 development images. Entries are required to achieve 75% top-1 accuracy on the public test set.

https://www.cs.toronto.edu/~k...: A widely popular image classification dataset of small images. The dataset is composed of 50,000 training images and 10,000 development images. Entries are required to achieve 80% top-1 accuracy on the test set.

https://blog.einstein.ai/the-...: A language modeling dataset that emphasizes long-term dependencies. Entries will perform the standard language modeling task, predicting the next token from the current one. The dataset is composed of 103 million training words, 217 thousand development words, and 245 thousand testing words. Entries should use the standard word-level vocabulary of 267,735 tokens. Entries are required to achieve a word-level perplexity below 35 on the test set.

Entry Deadline:

https://endovis.grand-challen...

June 5 - Oct 13, 2019 // Host by Grand Challenges // Prize: NaN

Note: As a vision CAI challenge at MICCAI, our aim is to provide a formal framework for evaluating the current state of the art, gather researchers in the field and provide high quality data with protocols for validating endoscopic vision algorithms.
EndoVis 2019 Sub-challenges:

https://endovissub-workflowan...

https://endovissub2019-scared...

Entry Deadline:

http://research.nii.ac.jp/gra...

05-13 ~ 11-26, 2019 // Host by CodaLab & CANDAR 2019 // Prize: NaN

Note: Find a graph that has smallest diameter & average shortest path length given an order and a degree.
Graph Golf is an international competition of the order/degree problem since 2015. It is conducted with the goal of making a catalog of smallest-diameter graphs for every order/degree pair. Anyone in the world can take part in the competition by submitting a graph. Outstanding authors are awarded in CANDAR 2019, an international conference held in Nagasaki, Japan, in November 2019.

Entry Deadline:

http://animalaiolympics.com/

April - December 2019 // Host by NeurIPS 2019 // Prize: $10,000+

Note: 基于Unity ML Agents Toolkit的動物認知-AI 挑戰
This competition pits our best AI approaches against the animal kingdom to determine if the great successes of AI are now ready to compete with the great successes of evolution at their own game.

Entry Deadline:

https://www.herox.com/IARPAGF...

April 4, 2018 - Feb. 1, 2020 // Host by Herox // Prize: $250,000

Note: Solvers, whether individuals or teams, will create innovative solutions and methods to produce forecasts to a set of more than 300 questions referred to as Individual Forecasting Problems (IFPs), released regularly over the course of the nine-month Challenge.

Entry Deadline:

https://evalai.cloudcv.org/we...

Oct 1, 2018 - Dec 11, 2019 // Host by EvalAI // Prize: NaN

Note: In this challenge, we evaluate model performance for three tasks, object detection, semantic segmentation and instance segmentation. You can participate all tasks or any one of them by choosing which results to be included in your submission.

Entry Deadline:

https://www.kesci.com/home/co...

2018年12月29日 - 2019年12月29日 // Host by Kesci // Prize: NaN

Note: 本練習賽的數據，選自UCI機器學習庫中的「銀行營銷數據集(Bank Marketing Data Set)」

Entry Deadline:

http://spiechallenges.cloudap...

Oct. 15, 2018 - Dec. 31, 2019 // Host by ISBI 2019 & Grand Challenges & cloudapp.net // Prize: NaN

Note: Participants will be tasked to develop an automated method for analyzing histology patches extracted from whole slide images and assign a score reflecting cancer cellularity in each.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Oze Energies // Prize: NaN

Note: This challenge proposes to develop machine learning based approaches so as to predict individuals" comfort model using several time series of environmental data obtained from sensors in a large building. The objective is to learn a classifier that uses these time series as inputs to predict the associated comfort class computed as an average of the comfort classes of all individuals in the building, assumed to experience the same environmental conditions.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Posos // Prize: NaN

Note: The goal of Posos challenge is to predict for each question the associated intent.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & OWKIN // Prize: NaN

Note: The challenge proposed by Owkin is a weakly-supervised binary classification problem : predict whether a patient has any metastase in its lymph node or not, given its slide.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Generali // Prize: NaN

Note: The goal of the challenge is to predict if a building will have an insurance claim during a certain period. You will have to predict a probability of having at least one claim over the insured period of a building.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & GNT ENS // Prize: NaN

Note: The challenge goal is to classify the brain activity state of an animal based on spiking activity patterns of its individual neurons.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Napoleon X // Prize: NaN

Note: The problem is a prediction challenge that aims at helping the Company to build an optimal blend of quantitative strategies, given a set of such strategies.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & BCM Energy // Prize: NaN

Note: The goal of the challenge is to predict, based on the analysis of the correlation of a year of consumption and weather training data, the electricity consumption of two given sites for a test year.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Dreem // Prize: NaN

Note: In this dataset, we try to predict whether or not a slow oscillation will be followed by another one in sham condition, i.e. without any stimulation.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Plume Labs // Prize: NaN

Note: In order to provide air quality forecasts, Plume Labs has built a unique database with readings collected by monitoring stations all over the world. The problem we submit consists in predicting the PM10 readings of some air quality monitoring stations using the readings provided by the monitoring stations nearby as well as urban features.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Enedis // Prize: NaN

Note: This challenge is about forecasting dynamic profiles values from their past values and all the components of Enedis’ Half hourly Electrical Balancing.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & LumenAI // Prize: NaN

Note: The goal is to design an automatic Rubik"s analyzer that estimates the current length of the shortest path to the solution.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Natixis // Prize: NaN

Note: The purpose of the challenge is to use a training set of 1 million prices to learn how to price a specific type of instruments described by 23 parameters by nonlinear interpolation on these prices.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & Mauna Kea Technologies // Prize: NaN

Note: The goal of this challenge is to build an image classifier to assist physicians in the screening and diagnosis of esophageal cancer.

Entry Deadline:

https://challengedata.ens.fr/...

Jan. 1, 2019 - Jan. 1, 2020 // Host by Challenge data & CFM // Prize: NaN

Note: The goal of this challenge is to predict the sign of the returns (= price change over some time interval) at the end of about 700 days for about 700 stocks.

Entry Deadline:

https://my.vanderbilt.edu/mem...

March 7, 2019 - March 4, 2020 // Host by ISBI 2019 // Prize: NaN

Note: This will be a 2-year challenge.
We aim to host 3 sub-challenges evaluating our current ability to:
(1) predict unseen signal (signal representation; sub-challenge #1)
(2) estimate microstructural measures (signal modeling; sub-challenge #2)
(3) evaluate sensitivity and specificity of potential biomarkers (biomarker evaluation; sub-challenge #3).

Entry Deadline:

https://www.crowdanalytix.com...

25 APR 2019 - 6 JUN 2019 // Host by CrowdANALYTIX // Prize: $10000

Note: Develop a model to predict, given mortgage application information, whether the mortgage will be funded or not.
To predict whether a mortgage will be funded using only this application data, certain leading factors driving the loan’s ultimate status will be identified. Solvers will discover the specific aspects of the dataset that have the greatest impact, and build a model based on this information.

Entry Deadline:

https://www.crowdanalytix.com...

12 MAY 2019 - 9 JUL 2019 // Host by CrowdANALYTIX // Prize: NaN

Note: Identify the characters from product image from a list of 42 possible values.
While using machine learning to perform image recognition is currently one of the most popular use cases, in some cases, the existing large-scale models are too broad to be effective for specific business use cases. In this contest we will use a data driven approach to identify the “characters” in an image (product images).

Entry Deadline:

https://kits19.grand-challeng...

March 15 - August 2, 2019 // Host by Grand Challenges // Prize: NaN

Note: The goal of this challenge is to accelerate the development of reliable kidney and kidney tumor semantic segmentation methodologies.

Entry Deadline:

https://paip2019.grand-challe...

April 15 - September 2, 2019 // Host by Grand Challenges & MICCAI 2019 // Prize: NaN

Note: The goal of the challenge is to evaluate new and existing algorithms for automated detection of liver cancer in whole-slide images (WSIs). There are two tasks and therefore two leaderboards for evaluating the performance of the algorithms. Participants can choose to join both or either tasks according to their interests.
Task 1: Liver Cancer Segmentation
Task 2: Viable Tumor Burden Estimation

Entry Deadline:

https://www.kaggle.com/c/imag...

Now - December 31 2029 // Host by Kaggle // Prize: NaN

Note: Identify the objects in images

Entry Deadline:

https://nocaps.org

Feb 8, 2019 - Apr 26, 2099 // Host by EvalAI // Prize: NaN

Note: Image captioning models have achieved impressive results on datasets containing limited visual concepts and large amounts of paired image-caption training data. However, if these models are to ever function in the wild, a much larger variety of visual concepts must be learned, ideally from less supervision. To encourage the development of image captioning models that can learn visual concepts from alternative data sources, such as object detection datasets, we present the first large-scale benchmark for this task. Dubbed nocaps, for novel object captioning at scale, our benchmark consists of 166,100 human-generated captions describing 15,100 images from the Open Images validation and test sets. The associated training data consists of COCO image-caption pairs, plus Open Images imagelevel labels and object bounding boxes. Since Open Images contains many more classes than COCO, nearly 400 object classes seen in test images have no or very few associated training captions (hence, nocaps). We extend existing novel object captioning models to establish strong baselines for this benchmark and provide analysis to guide future work on this task.

Entry Deadline:

https://www.nuscenes.org/

Apr 1, 2019 - Jan 1, 2099 // Host by EvalAI & CVPR 2019 // Prize: NaN

Note: The nuScenes dataset is a large-scale autonomous driving dataset.

Entry Deadline:

https://www.kaggle.com/c/comp...

No deadline // Host by Kaggle // Prize: NaN

Note: Final project for "How to win a data science competition" Coursera course

No Deadline.

https://competitions.codalab....

Nov. 23, 2016 - Never // Host by CodaLab // Prize: NaN

No Deadline.

https://competitions.codalab....

June 1, 2019 - Never // Host by CodaLab & ICCV 2019 // Prize: NaN

Note: Challenge participants need to develop driving models that can drive most similar to the human driver that recorded the dataset.

No Deadline.

https://competitions.codalab....

June 1, 2019 - Never // Host by CodaLab & ICCV 2019 // Prize: NaN

Note: Challenge participants need to develop driving models that can drive most similar to the human driver that recorded the dataset.

No Deadline.

https://competitions.codalab....

May. 17, 2019 - Never // Host by CodaLab // Prize: NaN

Note: This is an EE331 competition leaderboard for Mobile age group classification. It consists of 157K datasamples with 85 various features and age group label (ranging from 1 to 6). The data is splitted into train : validation : test sset with 70 : 20 : 10 ratio.

No Deadline.

https://fastballs.wordpress.c...

May. 17, 2019 - Never // Host by CodaLab // Prize: NaN

Note: Perfect Pitching Simulator!

No Deadline.

https://github.com/facebookre...

May 7, 2019 - Never // Host by CodaLab & CVPR 2019 // Prize: NaN

Note: ActivityNet-Entities, is based on the video description dataset ActivityNet Captions and augments it with 158k bounding box annotations, each grounding a noun phrase (NP). Here we release the complete set of NP-based annotations as well as the pre-processed object-based annotations.
please see our dataset repo, code repo, and CVPR 2019 oral paper.

No Deadline.

http://youcook2.eecs.umich.edu

May 6, 2019 - Never // Host by CodaLab // Prize: NaN

Note: YouCook2 is currently suitable for video-language research, weakly-supervised activity and object recognition in video, common object and action discovery across videos and procedure learning.

No Deadline.

https://competitions.codalab....

Dec. 1, 2018 - Never // Host by CodaLab // Prize: NaN

Note: The challenge consists in building an AI agent that can play efficiently and win simplified text-based games using TextWorld.

No Deadline.

https://competitions.codalab....

Nov. 16, 2018 - Never // Host by CodaLab & TVQA // Prize: NaN

Note: This portal is only used for models that used "ts" (timestamp annotations)
TVQA is a large-scale video QA dataset based on 6 popular TV shows (Friends, The Big Bang Theory, How I Met Your Mother, House M.D., Grey"s Anatomy, Castle).

No Deadline.

https://competitions.codalab....

Feb. 25, 2018 - Never // Host by CodaLab & IWCS-2019 // Prize: NaN

Note: The shared task on DRS parsing will be co-located with IWCS-2019 held in Gothenburg, Sweden on 23-27 May.

No Deadline.

https://competitions.codalab....

Oct. 1, 2018 - Never // Host by CodaLab & IntPhys // Prize: NaN

No Deadline.

http://alt.qcri.org/semeval20...

Now - Never // Host by CodaLab & SemEval-2019 // Prize: NaN

Note:
Frame semantics and semantic parsing:

https://competitions.codalab....

https://competitions.codalab....
Opinion, emotion and abusive language detection

https://www.humanizing-ai.com...

http://www.webis.de/events/se...

https://competitions.codalab....
[Task 6: OffensEval: Identifying and Categorizing Offensive Language in Social Media
Fact vs fiction
](https://competitions.codalab....Task 7: RumourEval 2019: Determining Rumour Veracity and Support for Rumours