specular highlight removal;gradient mask;specular highlight semantic;unsupervised training;specular highlight detection

The Semantic Highlight Mask Dataset holds significant importance in the field of computer vision, particularly for tasks such as object detection, image segmentation, and scene understanding. This paper proposes a novel Semantic Highlight Mask Dataset designed to support high-precision semantic segmentation and emphasize key regions in images. The dataset encompasses a diverse range of image categories, with finely annotated highlight masks assigning semantic labels and saliency weights to each pixel.