AI Machine Learning Annotation Seminar on October 8, 2020 (Thursday)
[Web Seminar] Tips for Successful Annotation Management in AI Machine Learning
~ Over 48 million data creation experience for years ~
will be held.
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In AI/machine learning, the quality of annotated training data significantly affects the accuracy of AI.
To improve accuracy, it is necessary to have a large number of human resources for creating a vast amount of training data, making quality and talent management extremely important.
- 1. How to incorporate information into the manual
- ②Mechanisms and devices that maximize human performance
- ・I created manuals and guidelines, but I'm not sure how much information I should include (if I include too much, it will never end).
- ・Although I created the manual, the questions and interactions from the annotators do not decrease.
- ・I am told by the annotator that balancing quality and productivity is impossible, and I am troubled by this.
- ・Unable to manage a large number of annotators
- The productivity varies greatly depending on the annotator, and we are struggling as there has been no improvement despite guidance.
- ・I want to focus on development work, so I can't manage the annotators (annotation).
While tools and their usage are important for annotation, there are few areas that can be automated, and manual work cannot be avoided.
Therefore, the weight that depends on the characteristics and abilities of the annotators is significant, and no matter how much manualization or standardization is implemented, if the management points are misaligned, productivity and quality will not improve.
Therefore, the improvement of human performance and the "appropriate balance of coexistence" of manuals greatly influence the quality and productivity of annotations, but this is surprisingly overlooked.
Human Science creates over 48 million training data sets annually.
In this seminar, we will focus on the quality management aspect of annotations based on that knowledge, highlighting the important points.
We will introduce examples and case studies.
This is a seminar that we would like those in charge who have the following challenges to participate in!
After the seminar, we will provide individual consultations as needed.
Please check the "Request for Individual Consultation" box on the application form.
Feel free to join us!