The third edition of the SHL Activity Recognition Challenge is open!

The goal of this machine learning/data science challenge is to recognize 8 modes of locomotion and transportation (activities) from the inertial sensor data of a smartphone.

This third edition of the challenge follows on our very successful 2018 and 2019 challenges, which saw the participation of more than 40 teams.

Further information: http://www.shl-dataset.org/activity-recognition-challenge-2020/