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