Omkar2118/datasets huggingface dataset:
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

Introducing paper: Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UI