SMOT

Single sequence-Multi Objects Training

ImagesIntroduced 2020-05-07

The SMOT dataset, Single sequence-Multi Objects Training, is collected to represent a practical scenario of collecting training images of new objects in the real world, i.e. a mobile robot with an RGB-D camera collects a sequence of frames while driving around a table to learning multiple objects and tries to recognize objects in different locations.

Source: SMOT