We study the amount of information that is contained in “random pictures” by which we mean the sample sets of a Boolean model. To quantify the notion “amount of information” two closely connected questions are investigated: on the one hand, we study the probability that a large number of balls is needed for a full reconstruction of a Boolean model sample set. On the other hand, we study the quantization error of the Boolean model w.r.t. the Hausdorff distance as a distortion measure.