The alwaysAI Blog

alwaysAI Model Training Toolkit Tutorial

At alwaysAI, we want you to create unique and powerful models that help accomplish your computer vision goals. With the Model Training Toolkit you can create a custom object detection model with little experience and no coding. This video outlines the end-to-end process of doing exactly that - and in a way that is easy to follow. It is meant to be interactive, so you can pause it after each step to take action and then come back. 

Simplifying the Development of Computer Vision Applications for the Edge

Recent trends in computation and automation highlight a massive and sustained growth for computer vision based applications on the edge. Market research also points to tremendous interest in these applications amongst entrepreneurs and developers alike. However, developing commercial-grade CV applications for the edge is hard (link to the new article here). There are two primary reasons for this.

Computer Vision Application Development Lifecycles Explained

Computer vision-based deep learning projects might seem far beyond the kind of what you and your development team have tackled in the past. However, though it is an emerging technology, computer vision application development cycles remain relatively similar to that of many projects you may already be familiar with.

Installing the alwaysAI Platform on Ubuntu Desktop

Although alwaysAI is focused on computer vision on the edge, you can easily install the platform on your local PC and do prototyping before going to the edge.  In this article, I will show how to install the alwaysAI platform on your PC using either a virtual machine (macOS, Windows) or native installation (Linux).  If you are already running a Linux desktop you can skip down to the Installing alwaysAI Platform section.