The COTe score: A decomposable framework for evaluating Document Layout Analysis models

ArXi:2603.12718v1 Announce Type: new Document Layout analysis (DLA), is the process by which a page is parsed into meaningful elements, often using machine learning models. Typically, the quality of a model is judged using general object detection metrics such as IoU, F1 or mAP. However, these metrics are designed for images that are 2D projections of 3D space, not for the natively 2D imagery of printed media. This discrepancy can result in misleading or uninformative interpretation of model performance by the metrics. To encourage robust, comparable, and nuanced DLA, we