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General:  open-data-registry Type:  dataset Integration:  git aws s3
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README.md

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Multiview Extended Video with Activities (MEVA)

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/mevadata-dataset")

fs.listdir("s3://mevadata-public-01")

Description:

The Multiview Extended Video with Activities (MEVA) dataset consists video data of human activity, both scripted and unscripted, collected with roughly 100 actors over several weeks. The data was collected with 29 cameras with overlapping and non-overlapping fields of view. The current release consists of about 328 hours (516GB, 4259 clips) of video data, as well as 4.6 hours (26GB) of UAV data. Other data includes GPS tracks of actors, camera models, and a site map. We have also released annotations for roughly 184 hours of data. Further updates are planned.

Contact:

The Multiview Extended Video with Activities (MEVA) dataset consists video data of human activity, both scripted and unscripted, collected with roughly 100 actors over several weeks. The data was collected with 29 cameras with overlapping and non-overlapping fields of view. The current release consists of about 328 hours (516GB, 4259 clips) of video data, as well as 4.6 hours (26GB) of UAV data. Other data includes GPS tracks of actors, camera models, and a site map. We have also released annotations for roughly 184 hours of data. Further updates are planned.

Update Frequency:

We anticipate two or three updates as more video data is released to the public.

Managed By:

http://www.kitware.com/

Resources:

  1. resource:
    • Description: AVI video clips and collection site map
    • ARN: arn:aws:s3:::mevadata-public-01
    • Region: us-east-1
    • Type: S3 Bucket

Tags:

aws-pds, computer vision, urban, us, video

Publication:

  1. publication:

  2. publication:

    • Title: ActEV: Activities in Extended Video
    • URL: https://actev.nist.gov/
    • AuthorName: National Institute of Standards and Technology (NIST)
  3. publication:

    • Title: TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos
    • URL: https://arxiv.org/abs/2107.11494
    • AuthorName: Praveen Tirupattur, Aayush J Rana, Tushar Sangam, Shruti Vyas, Yogesh S Rawat, Mubarak Shah
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About

mevadata-dataset is originate from the Registry of Open Data on AWS

Collaborators 5

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