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Image composition aims to generate realistic composite image by inserting anobject from one image into another background image, where the placement (e.g.,location, size, occlusion) of inserted object may be unreasonable, which wouldsignificantly degrade the quality of the composite image. Although some worksattempted to learn object placement to create realistic composite images, theydid not focus on assessing the plausibility of object placement. In this paper,we focus on object placement assessment task, which verifies whether acomposite image is plausible in terms of the object placement. To accomplishthis task, we construct the first Object Placement Assessment (OPA) datasetconsisting of composite images and their rationality labels. We also propose asimple yet effective baseline for this task. Dataset is available athttps://github.com/bcmi/Object-Placement-Assessment-Dataset-OPA.

OPA: Object Placement Assessment Dataset