- Dealing with massive amounts of data you want to use for machine learning?
- Doing most of the work in-house but now you want your team to focus on more strategic initiative?
- Thinking about outsourcing the data annotation work but still have a lot of concerns?
Then this video series is totally for you.
With 5 videos in the series, we will take you through the essential elements of successfully outsourcing this vital but time consuming work.
Our sharing is not only from the perspective of a data labelling service provider but also a quality assurance company. So I hope you guys will find it fresh and helpful.
- Data Quality
- Scale – What happens when my data labeling volume increases
- Tools – Do I need a tooling platform for data labeling
- Security – How will my data be protected
Interested in our Data Annotation service?