Method and system for building a machine learning model for finding visual targets from text queries, the method comprising the steps of receiving a set of training data comprising text attribute labelled images, wherein each image has more than one text attribute label. Receiving a first vector space comprising a mapping of words, the mapping defining relationships between words. Generating a visual feature vector space by grouping images of the set of training data having similar attribute labels. Mapping each attribute label within the training data set on to the first vector space to form a second vector space. Fusing the visual feature vector space and the second vector space to form a third vector space. Generating a similarity matching model from the third vector space.