3 papers
cs.CV2026
Analyzing Training-Free Corruption Detection for Object Detection Datasets
Christian Sieberichs, Simon Geerkens, Thomas Waschulzik +2
Annotation errors are widespread in computer vision datasets and can significantly degrade the performance of systems trained on them, particularly in complex tasks such as object…
cs.LG2023
ECS -- an Interactive Tool for Data Quality Assurance
Christian Sieberichs, Simon Geerkens, Alexander Braun +1
With the increasing capabilities of machine learning systems and their potential use in safety-critical systems, ensuring high-quality data is becoming increasingly important. In t…
cs.CY2023
QI2 -- an Interactive Tool for Data Quality Assurance
Simon Geerkens, Christian Sieberichs, Alexander Braun +1
The importance of high data quality is increasing with the growing impact and distribution of ML systems and big data. Also the planned AI Act from the European commission defines…