This dataset creates a scene where a foreground object is to be distinguished from the background. Foreground objects are borrowed from shapnet. Backgrounds are from indoor scenes of polyhaven. All foreground objects are situated on top of a "table" which is gernated to be random in color. Instead of background removal with a single image. This dataset is special in that multiple images of the foreground object (taken from different camera poses) are given. This "multi-view" persepctive should be very helpful for background removal but is currently underexplored in the literature.
The dataset is divided into two difficulties levels: easy and hard. For the easy challenge, scenes only contain one salient object within the scene, while in the hard challenge we additionally insert clutter.
Please see the worker.py file to get a glimpse of how the data was generated.
See example training images as well as ground truth masks
from easy and hard:
