Annotating the Movement of People in Videos Using Keypoints

  • Client Profile

    Industry: Technology services
    Location: USA
    Size: 10-50

  • Company Bio

    The client has a suite of products that help companies create and manage the huge amounts of customized datasets they need to build algorithms. They use AI to make customized AI training data for large tech companies to help their clients develop machine learning-based features in their products multiple times faster than they could themselves.

Overview

Marking the human skeleton with key points on each frame in a video.

  • 12,000

    videos annotated

  • 115

    full-time data annotators

  • >95%

    quality score

Business Challenge

The client needed to annotate the human skeleton with key points on each frame in a video which is very challenging because the person is constantly moving in the video and therefore the combinations of points are constantly changing. Moreover, the people in the video can be in various positions i.e. vertical (running, jumping, squatting), horizontal (push-ups, laying down, plank position). Moreover, the algorithm evaluates key points differently when a person is in different positions.

Solutions Provided by Mindy Support

Mindy Support assembled a team of 115 full-time data annotators to perform all of the needed labeling tasks. In total we annotated 12,000 videos which is 1,200,000 frames. All of this work was done within the specified time frame of 60 days and the quality score was >95%.

Mindy Support is ISO 9001 and ISO 27001 certified. Our information security management system (ISMS) is built on the basis of international standards that helps organizations keep information assets secure.

We are committed to respecting all rights of the data subjects under the General Data Protection Regulation (GDPR) (EU) 2016/679. According to the Article 28 of the GDPR, the relationship between the controller and the processor are regulated by Data Processing Agreement, which we put in place with every Client.

Results Delivered to the Client

  • 12,000 videos annotated in total

  • 1,200,0000 frames were annotated

  • Quality score >95%

  • All of the work was completed in 60 days

  • 12,000

    videos annotated

  • 115

    full-time data annotators

  • >95%

    quality score