COCOPlaces

The COCOPlaces dataset contains foreground objects from the COCO dataset overlayed over backgrounds from the Places dataset. It contains annotations and is suitable for benchmarking disentangling or factor identification. Originally used for the project https://github.com/vitskvara/sgad. There are two versions - non-mixed and mixed. In the non-mixed version (uniform_data_64.npy and uniform_labels_64.npy), a total of 10 classes of images were created, where in a single class, the background and object labels are the same. In the mixed version (mashed_data_64.npy and mashed_labels_64.npy), each image has a random object and background (out of 10 possible classes). Then, the label is a tuple of two numbers, describing the individual (object,background) labels.