  We present the 2017 Hands in the Million Challenge, a public competition
designed for the evaluation of the task of 3D hand pose estimation. The goal of
this challenge is to assess how far is the state of the art in terms of solving
the problem of 3D hand pose estimation as well as detect major failure and
strength modes of both systems and evaluation metrics that can help to identify
future research directions. The challenge follows up the recent publication of
BigHand2.2M and First-Person Hand Action datasets, which have been designed to
exhaustively cover multiple hand, viewpoint, hand articulation, and occlusion.
The challenge consists of a standardized dataset, an evaluation protocol for
two different tasks, and a public competition. In this document we describe the
different aspects of the challenge and, jointly with the results of the
participants, it will be presented at the 3rd International Workshop on
Observing and Understanding Hands in Action, HANDS 2017, with ICCV 2017.
