For model development, we use the train/dev/test split from<cite> Monroe et al. (2017)</cite> with 15, 665 training, 15, 670 dev, and 15, 659 test rounds. Within our models, we represent color objects using a 3-dimensional CIELAB color spacenormalized so that the values of each dimension are in [−1, 1]. Our use of the CIELAB color space departs from prior work on the color data which used a 54-dimensional Fourier space <cite>(Monroe et al., 2017</cite> (Monroe et al., , 2016 Zhang and Lu, 2002) .