A Complete Guide to 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.
Writing an Effective Annotation Specification Document for Image Annotation
Let’s face it, most data scientists dread annotation. In this blog, we recommend key requirements for an annotation specification plan.
Exploratory Data Analysis for your Dataset – Explained
EDA allows ML scientists to visualize datasets from many angles so they can make informed decisions about how to improve them. In this blog, we’ll discuss the fundamentals…
Data Annotation: The Meat and Potatoes of Machine Learning Part 2
Many people don’t consider all the problems that pop up during data annotation until they start annotating. In this blog, we’ll discuss solutions to those problems that…
Data Annotation: The Meat and Potatoes of Machine Learning
Achieving quality annotations is trickier than most assume. The right tools make all the difference in the success of a project. In this blog, we’ll begin to dive into the annotating…
The Brave 1st Step of Machine Learning: Dealing with Data
Finding data that’s well-suited to train Machine Learning solutions isn’t as easy as it may sound. In this blog we will discuss best practices for managing data along with…
Innotescus’ Video and Image Annotation tools 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…
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.
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