AutomotiveUI-Bench-4K
Dataset Overview: 998 images and 4,208 annotations focusing on interaction with in-vehicle infotainment (IVI) systems. Key Features: - Serves as a validation benchmark for automotive UI. - Scope: Covers 15 automotive brands/OEMs, model years 2018-2025. - Image Source: Primarily photographs of IVI displays (due to screenshot limitations in most vehicles), with some direct screenshots (e.g., Android Auto). - Annotation Classes: - Test Action: Bounding box + imperative command in natural language. - Expected Result: Bounding box + expected outcome in natural lanugage + Pass/Fail status. - Bounding boxes are in format [[x0,y0,x1,y1]] - Languages: - IVI UI: German and English. - Annotations: English only (German UI text translated or quoted). - 15 Brands/OEMs