Repository details
Cornell Activity Datasets: CAD-60 & CAD-120
Name of repository
Cornell Activity Datasets: CAD-60 & CAD-120
Repository URL
Subject(s)
Description
<<<!!!<<< The repository is no longer available. >>>!!!>>>
Contact
- hema@ cs.cornell.edu
- asaxena@cs.cornell.edu
Content type(s)
Keyword(s)
Repository type(s)
- disciplinary
Mission statement for designated community
Research data repository language(s)
- English
Data and/or service provider
- data provider
Institution name
Additional name(s)
- Sloan Research Fellowship
Contact(s)
Country
Type(s) of responsibility
- funding
Type of institution
non-profit
Institution name
Country
Type(s) of responsibility
- general
- technical
- funding
Type of institution
non-profit
Database access
Type of access to research data repository
open
Data access (1)
Type of access to data
open
Data licenses (1)
DataLicense
Data upload (1)
Type of data upload
closed
Persistent identifier system(s)
- none
Name of the repository software
- unknown
Data citation guideline
Author identifier system(s)
- none
Enhanced Publication
no
Quality management
no
Remarks
Remarks
Description:
The CAD-60 and CAD-120 data sets comprise of RGB-D video sequences of humans performing activities which are recording using the Microsoft Kinect sensor.
Being able to detect human activities is important for making personal assistant robots useful in performing assistive tasks. Our CAD dataset comprises twelve different activities (composed of several sub-activities) performed by four people in different environments, such as a kitchen, a living room, and office, etc. Tested on robots reactively responding to the detected activities.
Entry date
2016-11-10
Last update
2023-11-30
Cite this re3data.org record:
re3data.org: Cornell Activity Datasets: CAD-60 & CAD-120; editing status 2023-11-30; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R3DD2D last accessed: 2024-04-26- Current projects
- EOSC FAIR-IMPACT
- re3data COREF
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- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-04-26
