Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

2.2.4 Required Reading

Course subject(s) Module 2. Crowdsourcing for AI

Required Reading

In this unit, you learned about the importance of human input within Artificial Intelligence. To dig deeper into this topic, we have provided a recent publication on image annotation via crowdsourcing:

Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitsz, J., … & Fei-Fei, l. (2017). Visual genome: Connecting language and vision using crowdsourced dense image annotations. International journal of computer vision, 123(1), 32-73.

Creative Commons License
AI skills for engineers: Data creation and collection by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/data-creation-and-collection-for-artificial-intelligence-via-crowdsourcing/ /
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