The What and Why of Annotation Augmentation: Three Key Benefits
Everybody knows dataset bias exists. What’s more, most folks are very adept at identifying it. But once your bias is defined, how do you act on it? For Innotescus users, the
Curating Data for Transfer Learning with NVIDIA’s TAO Toolkit and Innotescus
This blog walks through using NVIDIA’s TAO Toolkit and Innotescus’ data curation and analysis platform to improve a popular object detection model’s performance on the ‘person’
How We Placed Second in Andrew Ng’s Data-Centric AI Challenge
Shashank, Chris, and Rob first worked together at ChemImage Corporation, leveraging machine learning with dense hyperspectral imaging datasets to identify chemical
Learning Curve Graphs Part 1: Countering the Data Requirement Curse
Broadly speaking, most machine learning algorithms fall into one of two categories: linear models or non-linear models. Linear models are easy to interpret, faster to train and deploy
Computer Vision Projects Help Support the Fight Against COVID
In this post, Innotescus spotlights several computer vision/ML projects that support the fight against COVID. including a ML model that interprets chest x-rays.
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.
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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