GTEA (Georgia Tech Egocentric Activity)

Introduced by Alireza Fathi et al. in Learning to recognize objects in egocentric activities

The Georgia Tech Egocentric Activities (GTEA) dataset contains seven types of daily activities such as making sandwich, tea, or coffee. Each activity is performed by four different people, thus totally 28 videos. For each video, there are about 20 fine-grained action instances such as take bread, pour ketchup, in approximately one minute.

Source: TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation


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