The data annotation platform independently developed by Jinglianwen Technology provides complete data processing capabilities in various fields such as voice, image, text and video, and delivers high-quality AI data for algorithm models in various fields such as smart driving, smart city, smart home, smart finance, smart education, smart security and new retail.
It has a real-time quantitative visual management system, including data set management, project management, personnel management, supply chain management, etc., and a perfect quality inspection process, which can effectively improve the efficiency of man-machine cooperation, expand production capacity, timely adjust labeling schemes, do a good job in overdue risk management and control, and accurately control data quality issues; Establish a perfect personnel training and management system for the full-time bidding team, launch a complete set of AI industry personnel training solutions, and offer training programs such as theoretical courses, practical courses and graduation exams respectively. Through the combination of theory and practice, we will deliver high-quality data acquisition and labeling talents for the industry.
Strictly control the progress of the project, reverse the project plan according to the project delivery time, fully consider all kinds of risks that may affect the progress when making the plan, clarify the responsibilities, leave some room and flexibility for the progress, and ensure that the project can be delivered on schedule.
There are stable collection and labeling teams, mature project managers and mature labeling personnel, and the turnover rate is low. By strengthening the humanistic care for employees and establishing a mature promotion mechanism, we can create a clear career growth plan and a relatively perfect training system for employees in different positions, reduce the turnover rate and ensure the fluency of large-scale project docking.
Beijing Lianwen Annotation Platform has a real-time quantitative visual management system, which integrates data management, project management, personnel management, supply chain management and other functions. It can realize automatic labeling or semi-automatic auxiliary labeling, AI algorithm preprocessing, automatic quality inspection and other functions, support localized deployment and SAAS services, effectively improve data accuracy and quality, and shorten the construction period.