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2 datasets found
  1. P

    MSRC-12 Dataset

    • paperswithcode.com
    Updated Jun 6, 2012
    + more versions
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    Simon Fothergill; Helena M. Mentis; Pushmeet Kohli; Sebastian Nowozin (2012). MSRC-12 Dataset [Dataset]. https://paperswithcode.com/dataset/msrc-12
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    Dataset updated
    Jun 6, 2012
    Authors
    Simon Fothergill; Helena M. Mentis; Pushmeet Kohli; Sebastian Nowozin
    Description

    The Microsoft Research Cambridge-12 Kinect gesture data set consists of sequences of human movements, represented as body-part locations, and the associated gesture to be recognized by the system. The data set includes 594 sequences and 719,359 frames—approximately six hours and 40 minutes—collected from 30 people performing 12 gestures. In total, there are 6,244 gesture instances. The motion files contain tracks of 20 joints estimated using the Kinect Pose Estimation pipeline. The body poses are captured at a sample rate of 30Hz with an accuracy of about two centimeters in joint positions.

  2. f

    msrC interaction network (Escherichia coli (strain K12))

    • funcoup.org
    Updated Feb 25, 2025
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    FunCoup (2025). msrC interaction network (Escherichia coli (strain K12)) [Dataset]. https://funcoup.org/quickSearch/msrC%2683333/
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    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    FunCoup
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    MSRC_ECOLI Free methionine-R-sulfoxide reductase

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Simon Fothergill; Helena M. Mentis; Pushmeet Kohli; Sebastian Nowozin (2012). MSRC-12 Dataset [Dataset]. https://paperswithcode.com/dataset/msrc-12

MSRC-12 Dataset

MSRC-12 Kinect Gesture Dataset

Explore at:
336 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 6, 2012
Authors
Simon Fothergill; Helena M. Mentis; Pushmeet Kohli; Sebastian Nowozin
Description

The Microsoft Research Cambridge-12 Kinect gesture data set consists of sequences of human movements, represented as body-part locations, and the associated gesture to be recognized by the system. The data set includes 594 sequences and 719,359 frames—approximately six hours and 40 minutes—collected from 30 people performing 12 gestures. In total, there are 6,244 gesture instances. The motion files contain tracks of 20 joints estimated using the Kinect Pose Estimation pipeline. The body poses are captured at a sample rate of 30Hz with an accuracy of about two centimeters in joint positions.