Scientific Poster Classification Survey
Thank you for taking the time to participate in this survey. We truly appreciate your contribution.
The purpose of this survey is to conduct human review of images to determine whether they are scientific posters or not. The results will support the development of an AI model that performs this classification automatically and will be used to identify true posters from mislabeled records (proceedings, abstracts, slides, etc.) before they are registered in Posters.science.
Although you can complete the survey at any time, we would appreciate it if you could complete at least 70 evaluations (or more, if you can; there are 350 evaluations total). You will be provided a Reviewer ID when you first start, and you can use it to come back to the survey at any time, including from a different device, and continue where you left off.
Please note that this survey is completely anonymous. We do not collect any personally identifiable information. Each respondent is assigned a random unique ID, which allows us to compute aggregate statistics when reporting results in future publications.
If you have any questions, feedback, or would like to learn more about this work, please feel free to reach out at bpatel@calmi2.org.