群核科技InteriorGS数据集登顶全球开源榜首

Group 1 - The core point of the news is that Qunke Technology's open-source dataset InteriorGS has topped the global AI open-source community HuggingFace trends, highlighting the growing importance of high-quality training data in the field of embodied intelligence [1][2] - The InteriorGS dataset consists of 1,000 Gaussian scenes, covering over 80 types of environments and more than 554,000 object labels across 755 categories, each with 3D bounding boxes and semantic annotations [1] - The other dataset, InteriorAgent, is specifically designed for the IROS 2025 "Peach Garden" robotics learning challenge, aiming to bridge the gap between simulation and real-world applications [2] Group 2 - Qunke Technology has been focusing on spatial intelligent services in indoor environments and previously released the world's largest indoor spatial deep learning dataset, InteriorNet, in 2018, which contains 130 million spatial data points [2] - The recent advancements in AI from Chinese companies, including Qunke Technology, reflect the rapid development of China's digital economy and its emergence as a global leader in AI technology [2] - The datasets and models developed by Chinese companies are seen as foundational for their role in the global AI landscape, driven by complex scenarios and diverse demands [2]