Summer is approaching and with it comes a new release of Imagimob AI. And in this release we have focused on improving the support for audio applications.
Audio classification is possibly the most exciting area for Edge AI. Imagine being able to classify audio, in real time, on tiny, battery-powered devices. With this version of Imagimob AI you can build such applications as a single developer in a very limited timeframe.
What used to take a large multi-diciplinary team years to build, is now at your fingertips, ready for you to explore. Import your audio data and build tiny machine learning models to classify different sounds, sound environments, detect keywords or anything you can imagine.
The improvements that we made to enable working with high-frequency sound data also applies to any other high-frequency sensor data. You will notice that working with larger sessions is a bit smoother, that training is faster and that the workflow has improved.
We have also improved the data verification to spot errors in the data before annotation and training has started. This will save you alot of time, and improve the accuracy of the AI applications you develop.
As always we are looking forward to see what you will create with this new release. Install it, explore, and let us know what you create.
Imagimob, a pioneer and a global leader in tinyML, has raised €1 million in new funding from a group...