Photo by Shubham Dhage on Unsplash

Multiview Extended Video with Activities (MEVA) Dataset for Machine Learning

Install DagsHub:

pip install dagshub
Click on copy button to copy content

To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

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

fs.listdir("s3://mevadata-public-01")
Click on copy button to copy content

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.

Additional information

Documentation

Update frequency

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

Related datasets

BodyM Dataset

Cloud to Street – Microsoft Flood and Clouds Dataset

A2D2: Audi Autonomous Driving Dataset

Galaxy Evolution Explorer Satellite (GALEX)

Launch your ML development to new heights with DagsHub

Back to top