How can we describe the relations between objects in a picture? As recent deep neural networks have exhibited impressive performance in identifying individual entities in a picture, in this study we turn our attention to recognize inter-object relations. To recognize open-domain relations, (a) we propose collecting relational concepts automatically from an image-text corpus. In addition, using collected relational instances, (b) we train a classifier to recognize inter-object relations. A relation recognition experiment conducted in our study suggests that relative information calculated from objects improves relation recognition effectively.