UNIGAZE

UNIGAZE appears in two separate contexts. One is a gaze-estimation research project that uses large-scale, in-the-wild facial datasets for self-supervised pre-training, aiming to improve cross-domain generalization while reducing dependence on costly labeled data. Its public materials include an official PyTorch implementation, model resources, and a browser-based live demo. A separate set of product images shows circular metal stud earrings, silver-tone jewelry, a gold pendant necklace, and a gray cylindrical vase with a gold leaf-shaped ornament. The available sources do not establish that the research project and the jewelry imagery belong to one brand, so they are not combined into a single brand narrative.