Georgia Tech Egocentric Activity
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
Image Source: http://cbs.ic.gatech.edu/fpv/
Variants: GTEA
This dataset is used in 2 benchmarks:
Recent papers with results on this dataset: