DataRing: Распознавание объектов на аэрокосмических снимках

1 ноября 2016 — 31 марта 2017
Осталось 4 дня, 22 часа
В настоящее время, несмотря на стремительное развитие компьютерных технологий обработки изображений, объем рутинного анализа аэрокосмических изображений, проводимого человеком, все еще остается значительным, а доступные подходы к автоматизации таких задач не обеспечивают достаточную точность распознавания объектов. В рамках конкурса Фонд Перспективных Исследований совместно c Кластером космических технологий и телекоммуникаций Фонда «Сколково» предлагает разработать решение в области создания интеллектуальных технологий дешифрирования видовой аэрокосмической информации.

Instagram Photo Prediction Challenge

20 марта 2017 — 5 апреля 2017
Осталось 1 неделя, 2 дня
Predict which photo from a series will get the most likes?

IJCB 2017: Sclera Segmentation and Eye Recognition Benchmarking Competition

10 декабря 2016 — 10 апреля 2017
Осталось 2 недели
Sclera biometrics have gained significant popularity among emerging ocular traits in the last few years. The foremost reason for such interest is due to its capability to enhance iris biometrics applicability in non-ideal conditions. In order to establish this idea and to evaluate the potential of this trait, various pieces of work have been proposed in the literature, both employing sclera individually and in combination with the iris. In spite of those initiatives, sclera biometrics need to be studied more extensively to ascertain the usefulness.

Kaggle: The Nature Conservancy Fisheries Monitoring

14 ноября 2016 — 12 апреля 2017
Осталось 2 недели, 2 дня
Nearly half of the world depends on seafood for their main source of protein. In the Western and Central Pacific, where 60% of the world’s tuna is caught, illegal, unreported, and unregulated fishing practices are threatening marine ecosystems, global seafood supplies and local livelihoods. The Nature Conservancy is working with local, regional and global partners to preserve this fishery for the future.

Kaggle: Data Science Bowl 2017

12 января 2017 — 12 апреля 2017
Осталось 2 недели, 2 дня
Using a data set of thousands of high-resolution lung scans provided by the National Cancer Institute, participants will develop algorithms that accurately determine when lesions in the lungs are cancerous. This will dramatically reduce the false positive rate that plagues the current detection technology, get patients earlier access to life-saving interventions, and give radiologists more time to spend with their patients.

IJCB 2017: Generalized face presentation attack detection in mobile authentication scenarios

1 февраля 2017 — 15 апреля 2017
Осталось 2 недели, 5 дней
The vulnerabilities of face-based biometric systems to presentation attacks have been finally recognized but yet we lack generalized software-based face PAD methods performing robustly in practical mobile authentication scenarios. During the recent years, many face PAD methods have been proposed and astonishing results have been reported on the existing benchmark datasets (including the databases used in the previous competitions). Recent studies have shown, however, that most of these methods are not able to generalize well in more realistic application scenarios, thus face PAD is still an unsolved problem in unconstrained and unsupervised operating conditions. The aim of this competition is to compare and evaluate the generalization abilities of face PAD methods under some real-world variations, including acquisition device, PAI, and illumination.

IJCB 2017: Unconstrained Ear Recognition Challenge

1 февраля 2017 — 17 апреля 2017
Осталось 3 недели
We are proud to announce the 1st Unconstrained Ear Recognition Challenge (UERC) that will be organized in the scope of the 2017 International Joint Conference on Biometrics (IJCB 2017). The goal of the challenge is to advance the state-of- technology in the field of automatic ear recognition, to provide participants with a challenging research problem and introduce a benchmark dataset and protocol for assessing the latest techniques, models, and algorithms related to automatic ear recognition.

Kaggle: Two Sigma Connect Rental Listing Inquiries

8 февраля 2017 — 25 апреля 2017
Осталось 4 недели, 1 день
Finding the perfect place to call your new home should be more than browsing through endless listings. RentHop makes apartment search smarter by using data to sort rental listings by quality. But while looking for the perfect apartment is difficult enough, structuring and making sense of all available real estate data programmatically is even harder. Two Sigma and RentHop, a portfolio company of Two Sigma Ventures, invite Kagglers to unleash their creative engines to uncover business value in this unique recruiting competition.

Global Energy Forecasting Competition 2017

14 октября 2016 — 15 мая 2017
Осталось 1 месяц, 2 недели
Emerging technologies, such as microgrids, electric vehicles, rooftop solar panels and intelligent batteries, are challenging the traditional operational practices of the power industry. While uncertainties on the demand side are pushing the operational excellence toward the edge of the grid, probabilistic load forecasting at various levels of the power system hierarchy is becoming increasingly important. GEFCom2017 will bring together state-of-the-art techniques and methodologies for hierarchical probabilistic energy forecasting. The competition features a bi-level setup: a three-month qualifying match that includes two tracks, and a one-month final match on a large-scale problem.

Udacity Self-Driving Car Challenge 2017

22 марта 2017 — 31 мая 2017
Осталось 2 месяца
One of the most important aspects of operating an autonomous vehicle is understanding the surrounding environment in order to make safe decisions. Udacity and Didi Chuxing are partnering together to provide incentive for students to come up with the best way to detect obstacles using camera and LIDAR data. This challenge will allow for pedestrian, vehicle, and general obstacle detection that is useful to both human drivers and self-driving car systems.

KDD CUP 2017: Highway Tollgates Traffic Flow Prediction

6 марта 2017 — 1 июня 2017
Осталось 2 месяца
Highway tollgates are well known bottlenecks in traffic networks. During rush hours, long queues at tollgates can overwhelm traffic management authorities. Effective preemptive countermeasures are desired to solve this challenge. Such countermeasures include expediting the toll collection process and streamlining future traffic flow. The expedition of toll collection could be simply allocating temporary toll collectors to open more lanes. Future traffic flow could be streamlined by adaptively tweaking traffic signals at upstream intersections. Preventive countermeasures will only work when the traffic management authorities receive reliable predictions for future traffic flow. For example, if in the next hour heavy incoming traffic is predicted, then the traffic regulators could immediately deploy additional toll collectors and/or divert traffic at upstream intersections.

Fake News Challenge

1 февраля 2017 — 2 июня 2017
Осталось 2 месяца, 1 неделя
The goal of the Fake News Challenge is to explore how artificial intelligence technologies, particularly machine learning and natural language processing, might be leveraged to combat the fake news problem. We believe that these AI technologies hold promise for significantly automating parts of the procedure human fact checkers use today to determine if a story is real or a hoax.

Kaggle: Google Cloud & YouTube-8M Video Understanding Challenge

15 февраля 2017 — 2 июня 2017
Осталось 2 месяца, 1 неделя
Video captures a cross-section of our society. And major advances in analyzing and understanding video have the potential to touch all aspects of life from learning and communication to entertainment and play. In this competition, Google is inviting the Kaggle community to join efforts to accelerate research in large-scale video understanding, while giving participants early access to the Google Cloud Machine Learning (Cloud ML) beta platform.

ACM RecSys Challenge 2017

1 марта 2017 — 4 июня 2017
Осталось 2 месяца, 1 неделя
The ACM RecSys Challenge 2017 is focussing on the problem of job recommendations on XING in a cold-start scenario. The challenge will consists of two phases: offline and online evaluation. Both phases aim at the following task: given a new job posting p, the goal is to identify those users that (a) may be interested in receiving the job posting as a push recommendation and (b) that are also appropriate candidates for the given job.

Kaggle: Quora Question Pairs

17 марта 2017 — 7 июня 2017
Осталось 2 месяца, 1 неделя
Where else but Quora can a physicist help a chef with a math problem and get cooking tips in return? Quora is a place to gain and share knowledge—about anything. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn from each other and to better understand the world.

CIKM AnalytiCup 2017

15 марта 2017 — 17 июня 2017
Осталось 2 месяца, 3 недели
CIKM AnalytiCup 2017 is an open competition involving exciting data challenges that are aimed at members of the industry and academia interested in information and knowledge management. SZMB-Alibaba Short-Term Quantitative Precipitation Forecasting Challenge seeks to substantially improve the accuracy of short-term precipitation forecasting based on radar echo extrapolation data.

Kaggle: Intel & MobileODT Cervical Cancer Screening

15 марта 2017 — 21 июня 2017
Осталось 2 месяца, 3 недели
Cervical cancer is so easy to prevent if caught in its pre-cancerous stage that every woman should have access to effective, life-saving treatment no matter where they live. Today, women worldwide in low-resource settings are benefiting from programs where cancer is identified and treated in a single visit. However, due in part to lacking expertise in the field, one of the greatest challenges of these cervical cancer screen and treat programs is determining the appropriate method of treatment which can vary depending on patients’ physiological differences.

The PhysioNet/Computing in Cardiology Challenge 2017

1 февраля 2017 — 1 сентября 2017
Осталось 5 месяцев, 1 неделя
The 2017 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify, from a single short ECG lead recording (between 30 s and 60 s in length), whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an alternative rhythm, or is too noisy to be classified.

DrivenData: DengAI Predicting Disease Spread

1 января 2017 — 22 декабря 2017
Осталось 9 месяцев
Accurate dengue predictions would help public health workers ... and people around the world take steps to reduce the impact of these epidemics. But predicting dengue is a hefty task that calls for the consolidation of different data sets on disease incidence, weather, and the environment.