2 datasets found
  1. P

    GTEA Dataset

    • paperswithcode.com
    Updated Mar 13, 2024
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    Alireza Fathi; Xiaofeng Ren; James M. Rehg (2024). GTEA Dataset [Dataset]. https://paperswithcode.com/dataset/gtea
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    Dataset updated
    Mar 13, 2024
    Authors
    Alireza Fathi; Xiaofeng Ren; James M. Rehg
    Description

    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.

  2. O

    GTEA (Georgia Tech Egocentric Activity)

    • opendatalab.com
    zip
    Updated Sep 21, 2022
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    Georgia Institute of Technology (2022). GTEA (Georgia Tech Egocentric Activity) [Dataset]. https://opendatalab.com/OpenDataLab/GTEA
    Explore at:
    zip(11211299176 bytes)Available download formats
    Dataset updated
    Sep 21, 2022
    Dataset provided by
    Intel Labs Seattle
    Georgia Institute of Technology
    Description

    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.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Alireza Fathi; Xiaofeng Ren; James M. Rehg (2024). GTEA Dataset [Dataset]. https://paperswithcode.com/dataset/gtea

GTEA Dataset

Georgia Tech Egocentric Activity

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 13, 2024
Authors
Alireza Fathi; Xiaofeng Ren; James M. Rehg
Description

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.

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