HOWS-CL-25 is a synthetic dataset created with BlenderProc, containing 150,795 unique images across 25 household object categories built from 925 3D models.

Every RGB image ships with a matching depth, segmentation, and normal image, and the images are organized into five sequences for continual learning evaluation — the setting that motivated RECALL.