AI Machine Learning Data Annotation Seminar on Thursday, October 8th, 2020
[Web Seminar] Tips for Successful Data Annotation Management for AI Machine Learning
From over 48 million data creation experiences per year~
Will be held.
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In machine learning for AI, the quality of annotated data greatly affects the accuracy of AI.
In order to improve accuracy, it is necessary to have a large number of human resources for creating a large amount of training data, making quality and personnel management extremely important.
- ① How to incorporate information into manuals
- Mechanisms and systems that allow for maximum performance from two individuals
- - Created manuals and guidelines, but not sure how much information to incorporate (there is no end to it once you start incorporating)
- ・Even though I created the manual, the number of questions and exchanges from data annotators has not decreased.
- ・Data annotator is struggling to balance quality and productivity.
- ・Unable to manage a large number of data annotators
- ・Data annotators are causing large variations in productivity, and I am struggling to improve it even with guidance.
- ・I cannot manage data annotators (data annotation) because I want to focus on development tasks.
Data annotation is important not only for the tools and methods used, but also because there are limited areas that can be automated and manual work is unavoidable.
Therefore, the weight of the data annotator's characteristics and abilities is significant, and no matter how much manualization or standardization is done, if the management point is off, productivity and quality will not improve.
Therefore, the quality and productivity of data annotation are greatly influenced by the balance between improving human performance and "appropriate balance" of manuals, which is often overlooked.
At Human Science Co., Ltd., we handle the creation of over 48 million teacher data annually.
In this seminar, we will focus on the quality management aspect of data annotation based on our expertise, and highlight important points.
We will introduce examples and other information.
This is a seminar that we would like to invite those in charge who have the following challenges to participate in!
After the seminar, we will be happy to provide individual consultations as needed.
Please check the "Individual Consultation Request" box on the application form.
Feel free to join us!