This challenge is the 4th annual installment of the ActivityNet Large-Scale Activity Recognition Challenge, which was first hosted during CVPR 2016. It focuses on the recognition of daily life, high-level, goal-oriented activities from user-generated videos as those found in internet video portals.
We are proud to announce that this year the challenge will host a diverse set of tasks which aim to push the limits of semantic visual understanding of videos as well as bridging visual content with human captions. Three of the tasks are based on the ActivityNet dataset, which was introduced in CVPR 2015 and organized hierarchically in a semantic taxonomy. These tasks focus on trace evidence of activities in time in the form of proposals, class labels, and captions.