We also perform a human evaluation, by randomly selecting 1300 video snippets and asking AMT turkers to rank <cite>three systems</cite> (the best SMT of <cite>[28]</cite> , S2VT [33] and ours) with respect to Correctness, Grammar and Relevance, similar to <cite>[28]</cite> . Results. Moreover, we improve over the recent approach of [33] , which also uses LSTM to generate video descriptions. Exploring different strategies to label selection and classifier training, as well as various LSTM configurations allows to obtain best result to date on the <cite>MPII-MD dataset</cite>. Human evaluation mainly agrees with the automatic measures. We outperform <cite>both prior works</cite> in terms of Correctness and Relevance, however we lose to S2VT in terms of Grammar.