Is There 20/20 Vision in Computer Vision?
In this post, we discuss how man and machine can work together in the image annotation process to make computer vision training more robust.
It’s the Journey – An Iterative Process for Data Cleaning
In this blog, we discuss how you can improve the data cleaning process through iteration and prioritization. You can also download a FREE data cleaning rulebook template.
How To Write An Effective Annotation Specification Document for Machine Learning
Let’s face it, most data scientists dread annotation. In this blog, we recommend key requirements for an annotation specification plan.
Innotescus helps scientists and engineers break the 80/20 rule
Are you frustrated with the quality and amount of time spent managing data? In this blog you will learn about new tools that help scientists and engineers break the 80/20 rule – allowing for more algorithm development, feature engineering, and model tuning.
About Innotescus
We are a group of scientists, engineers, and entrepreneurs with a vision for better AI. With backgrounds primarily in Machine Learning and Computer Vision, the Innotescus team understands the importance of having full control over and insight into data used to train Machine Learning models.