Techniques for evaluating consensus and annotation quality for object detection applications - 2026_IDR_DEIB_21
Posted on: 10/03/2026
Deadline: 16/04/2026
Scientific-Disciplinary Group
09/IINF-05 - Information Processing Systems
Description
The research will focus on refining metric techniques and tools for evaluating the quality of annotations in image object detection applications. The planned approach is based on metrics for calculating the concordance between annotations of different subjects as a proxy for evaluating the quality of annotations and the difficulty of the object detection task. The work involves both the study of metrics and their implementation in a practical tool for evaluating the quality of annotations and the complexity of the object detection task.
Job posting website
Number of positions
1
Funding body
Politecnico di Milano
Selection process
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In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-incarichidiricerca
Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 30 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 30 points) Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 20 points) Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 20 points)
View the original posting on the MUR website: Go to MUR website