Now IMAGIMOB Studio users can visualize their machine learning (ML) modeling workflows and leverage advanced capabilities to develop edge device models better and faster.
The latest release of IMAGIMOB Studio—Imagimob’s development platform for AI/ML on edge devices—includes the roll-out of a major user experience upgrade. The all-new Graph UX interface is designed to bring greater ease and clarity to the ML modeling process while offering advanced new capabilities such as built-in data collection and real-time model evaluation.
“What we’ve done here is represent ML projects in a way that makes more sense to users and gives them more freedom to operate,” says Alexander Samuelsson, CTO of Imagimob. “Compared to our previous workflow which was more top-down with a fixed pipeline, visualizing the entire workflow as a graph allows for a better overview of your process while unlocking the possibility to combine and test things in new and different ways—and ultimately build better models and accelerate time to market.”
IMAGIMOB Studio’s new Graph UX allows ML engineering teams to gain a complete visual overview of their modeling canvas, with the ability to zoom in and out and work at different levels of complexity.
In addition to making it easier to work more efficiently as a team, Graph UX makes ML modeling projects more accessible to team members with varying skill sets and experience levels thanks to the ability to work at different levels of complexity and abstraction all in the same workspace.
IMAGIMOB Studio’s Graph UX update not only enhances user-friendliness but brings a collection of new capabilities to the ML design process. These include:
Support for Infineon boards is now available right out of the box, and support for more hardware will be added soon. Users can also integrate their own hardware. Furthermore, Graph UX supplies a vital foundation for cutting-edge industry developments such as advanced models and hardware with multiple accelerators and processing units, like Infineon’s newly-launched PSoC™ Edge.
“Moving over to the Graph UX and its capable ML backend is a big change for us and our users,” says Alexander. “We are taking a holistic approach to ML modeling which, in our industry, is unique.”
The first release of Graph UX covers Data collection, Evaluation, and Code Generation. In future releases, the entire end-to-end ML modeling process— including Data management, Data cleaning, Augmentation, and Training—will be available in the same unified workflow.
IMAGIMOB Studio’s Graph UX update is now live. It is available to new users who download IMAGIMOB Studio, and the update is automatic for existing users.
Now IMAGIMOB Studio users can visualize their machine learning (ML) modeling workflows and leverage ...