Algorithm for Detecting Annotation Errors in Computer Vision Tasks

Student: Ermolaev Sergey

Supervisor: Mikhail Vladimirovich Batsyn

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Data Mining (Master)

Final Grade: 7

Year of Graduation: 2024

This paper raises the issue of efficiently dealing with annotation errors in data in computer vision tasks. The main algorithms for finding annotation errors are analyzed. A tool for analyzing data for errors with a user-friendly interface is implemented.

Full text (added May 27, 2024)

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