tonyliao-meta/WearVQA

WearVQA是一个专为评估多模态AI助手在穿戴设备（如智能眼镜）上的视觉问题回答（VQA）能力而设计的基准。与之前关注高质量第三方视角图像的基准不同，WearVQA反映了第一视角交互的独特挑战，其中视觉输入可能被遮挡、光照不足、未放大或模糊，问题基于现实世界中的穿戴设备使用场景。

WearVQA is the first benchmark specifically designed to evaluate the Visual Question Answering (VQA) capabilities of multi-modal AI assistants on wearable devices like smart glasses. Unlike prior benchmarks that focus on high-quality, third-person imagery, WearVQA reflects the unique challenges of egocentric interaction—where visual inputs may be occluded, poorly lit, unzoomed, or blurry, and questions are grounded in realistic wearable use cases.