|GeorgiaTech Egocentric Activities (GTEA)
This dataset contains 7 types of daily activities, each performed by 4 different subjects. The camera is mounted on a cap worn by the subject.
|Activity\Subject||Subject 1||Subject 2||Subject 3||Subject 4|
|Coffee with Honey||S1_CofHoney_C1||S2_CofHoney_C1||S3_CofHoney_C1||S4_CofHoney_C1|
|Peanut-butter and Jam Sandwich||S1_Pealate_C1||S2_Pealate_C1||S3_Pealate_C1||S4_Pealate_C1|
Download a video which can be used for calibrating the camera (C1_Calibration.MP4)
Download the code for extracting images from videos, calibration and resizing (extract images code), you need to have ffmpeg installed in order for this code to work.
In case you prefer to download the raw images instead of running the calibration and other code to extract them from videos, here is the link to raw images (raw images - 10GB).
Download the annotations (Labels)
Download the left hand, right hand and object segment masks computed by our algorithm (masks)
Cite the following paper when using the dataset: