Humans Disagree With the IoU for Measuring Object Detector Localization Error
Ombretta Strafforello (TU Delft - Electrical Engineering, Mathematics and Computer Science, TNO)
Vanathi Rajasekart (Student TU Delft)
Osman S. Kayhan (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Oana Inel (Universitat Zurich, TU Delft - Electrical Engineering, Mathematics and Computer Science)
Jan van Gemert (TU Delft - Electrical Engineering, Mathematics and Computer Science)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
The localization quality of automatic object detectors is typically evaluated by the Intersection over Union (IoU) score. In this work, we show that humans have a different view on localization quality. To evaluate this, we conduct a survey with more than 70 participants. Results show that for localization errors with the exact same IoU score, humans might not consider that these errors are equal, and express a preference. Our work is the first to evaluate IoU with humans and makes it clear that relying on IoU scores alone to evaluate localization errors might not be sufficient.