  We introduce a novel Interval Bound Propagation (IBP) approach for the formal
verification of object detection models, specifically targeting the
Intersection over Union (IoU) metric. The approach has been implemented in an
open source code, named IBP IoU, compatible with popular abstract
interpretation based verification tools. The resulting verifier is evaluated on
landing approach runway detection and handwritten digit recognition case
studies. Comparisons against a baseline (Vanilla IBP IoU) highlight the
superior performance of IBP IoU in ensuring accuracy and stability,
contributing to more secure and robust machine learning applications.
