🙌🏻🚗On July 22, 2021, Yandex opened the world's largest dataset of self-driving vehicles: more than 1600 hours of movement, divided into 600,000 marked-up fragments of trips on the roads of Russia, Israel and the United States in different weather conditions. The dataset was published for the Shifts Challenge at the international conference NeurIPS 2021 in order to draw attention to the problem of "data shift" in machine learning and reduce the uncertainty of applying ML-models in new conditions. All data are depersonalized. The dataset contains high-precision route maps and tracks of all surrounding cars and pedestrians (their position, speed, acceleration, etc.), without personal data (car numbers or faces of people). Participants have to train ML-algorithms on the provided data and check the quality of their work under shear conditions. Algorithm developers with the best quality will receive cash prizes of 5, 3 and 1 thousand dollars.
https://research.yandex.com/shifts
https://github.com/yandex-research/shifts