发展数据标注技术，把数据“原油”炼成“汽油”

Core Insights - The Chinese government is actively promoting the development of the data labeling industry as part of its "Artificial Intelligence+" initiative, emphasizing the importance of data labeling in enhancing AI capabilities and creating high-quality datasets [1][2]. Group 1: Industry Growth and Projections - By 2027, the data labeling industry is expected to see significant improvements in specialization, intelligence, and technological innovation, with an annual compound growth rate exceeding 20% [2]. - As of mid-2023, seven data labeling bases have been established in cities like Hefei and Chengdu, generating over 8.3 billion yuan in related industry output [2]. Group 2: Industry Trends - The data labeling industry is evolving with technological advancements, including intelligent labeling techniques and human-machine collaboration, which enhance efficiency and accuracy [3]. - The industry is transitioning from labor-intensive to knowledge-intensive, requiring higher professional standards for practitioners, especially in specialized fields like medical imaging and autonomous driving [3]. - The scope of data being labeled is expanding from single-modal to multi-modal, with applications extending into specialized sectors such as healthcare and industrial manufacturing [3]. Group 3: Collaborative Ecosystem Development - There is a call for collaborative efforts to strengthen the data labeling ecosystem, with local governments encouraged to implement policies and facilitate cooperation among industry stakeholders [4]. - Companies are urged to align their data labeling capabilities with actual market demands and collaborate on tool development and process optimization to establish industry standards [4].