涉及交通、医疗、教育……江苏到2027年底建设不少于1000个高质量数据集

Core Viewpoint - Jiangsu Province has launched a comprehensive plan to develop a high-quality data labeling industry, aiming to establish at least 1,000 complete and practical high-quality datasets by the end of 2027, significantly impacting various sectors of daily life and enhancing economic development [1][2]. Group 1: Development Goals - The plan outlines a vision for the data labeling industry in Jiangsu, targeting a national market share exceeding 10% and an annual compound growth rate of over 20% by 2027 [2]. - The initiative includes the establishment of three data labeling bases and the cultivation of around 10 key enterprises with strong innovation and industry influence [2]. Group 2: Key Areas of Focus - The first batch of high-quality datasets will cover 17 critical areas closely related to daily life, including transportation, healthcare, education, and more, aiming to support the development of artificial intelligence [1][4]. - Specific applications include enhancing autonomous driving through datasets focused on road perception and intelligent traffic management, as well as improving ride-hailing services with data on smart dispatch and trip recording [3][4]. Group 3: Impact on Healthcare - High-quality datasets in healthcare will include data on various diseases, facilitating advancements in drug development and clinical research, while also supporting intelligent regulation of medical insurance funds and pharmaceutical services [4]. - The plan emphasizes collaboration with large model enterprises, data service providers, and research institutions to leverage these datasets for AI model training and innovation [4].