A large industrial manufacturing company wanted to improve the accuracy of its machine learning models but had difficulty labeling high-quality data. The company faced the challenge of processing large amounts of unstructured data, including images and text, without sacrificing operational efficiency.
Solution
Solution WIS Soft Company designed and implemented an automatic and semi-automatic data labeling system, focusing on improving accuracy and performance. We develop smart labeling software, incorporating intuitive user interfaces that help employees easily control and manage the labeling process.
Implementation Process
Start by analyzing your current data processing workflow and identify where a labeling system can be integrated to improve accuracy without sacrificing performance.
Solution design: Based on the analysis results, we designed an integrated labeling system that allows humans and automated technology to handle complex tasks together. The system is optimized to ensure accuracy and efficiency in big data environments.
Deployment and optimization: The system is deployed in close cooperation with the technical team, ensuring compatibility and maximum performance. We also provide training programs for employees so they can work effectively with the new data labeling system.
Data labeling systems have helped significantly improve the accuracy of machine learning models without sacrificing process performance.
Improved efficiency: Smooth coordination between humans and automated technology has helped optimize processes, reduce job completion time and improve data quality.
Process optimization: Smart labeling systems not only help customers improve the accuracy of machine learning models, but also open up new opportunities in process optimization and increase data processing efficiency .
Our data labeling solution proves that collaboration between humans and automated technology can deliver outstanding results in modern industrial environments.
