TUM Kitchen

The TUM Kitchen dataset is an action recognition dataset that contains 20 video sequences captured by 4 cameras with overlapping views. The camera network captures the scene from four viewpoints with 25 fps, and every RGB frame is of the resolution 384×288 by pixels. The action labels are frame-wise, and provided for the left arm, the right arm and the torso separately.

Source: Temporal Human Action Segmentation via Dynamic Clustering Image Source: https://ias.in.tum.de/dokuwiki/software/kitchen-activity-data