Min Bai

Title: Min Bai - Innovator in Image Labeling Technology

Introduction

Min Bai is an accomplished inventor based in Jersey City, NJ (US). He has made significant contributions to the field of image labeling technology, particularly through his innovative patent that addresses the complexities involved in labeling tasks within service provider networks.

Latest Patents

Min Bai holds a patent for an "Automated estimation of needed resources related to labeling a labeling service within a service provider network." This patent describes a system that models the complexity of image labeling tasks by utilizing image data, labeling instructions, and label requirements. The system includes an application that determines a task complexity value based on various factors, such as data complexity, cognitive complexity, and product complexity. This task complexity value is essential for predicting or estimating the resources required for image labeling tasks, including the time and effort needed for annotation. Additionally, the system allows for the estimation of associated costs, which can be communicated to users who submit image data.

Career Highlights

Min Bai is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of image processing and labeling. His work has been instrumental in enhancing the efficiency and accuracy of labeling services within the company.

Collaborations

Min Bai has collaborated with notable colleagues, including Xiong Zhou and Weifeng Chen, contributing to advancements in their shared field of expertise.

Conclusion

Min Bai's contributions to image labeling technology exemplify the impact of innovative thinking in addressing complex challenges. His patent not only streamlines the labeling process but also provides valuable insights into resource estimation, showcasing the importance of technology in enhancing operational efficiency.