Our driving force is to make this technology as accessible as possible to as many people as possible. We believe that machine learning will be a huge new way that people interact with computers going forward to better their lives.
Lobe will always let you train custom machine learning for free on your computer. We hope this becomes a vibrant ecosystem, and the business model around the edges can come later for value-add services.
>Lobe will always let you train custom machine learning for free on your computer.
ah ok, fine, just the legalese was making me wonder. And of course that we are in a capitalist system so not sure I follow the value for Microsoft in this scenario, but I guess you find making machine learning more available to apps somehow drives value.
We believe there are several advantages of Lobe over tools like Google AutoML :) Lobe is making the entire process of creating custom machine learning accessible, from creating your dataset to training and playing with your model, to integrating it into apps:
* Easy to use - no coding, cloud configuration or machine learning experience required.
* Free & private - train for free on your own computer without uploading your data to the cloud. No accounts required.
* Ship anywhere - available for both Mac and Windows. Export your model and ship it on any platform you choose.
AutoML requires paid accounts with high friction setup and is focused on just training a model on your data. You would have to pay and retrain your model manually every time you want to make an iteration. Lobe gives fluidity with iterating and providing feedback to your model through Play.
Thanks for the details! It's good to know this is an option for projects that require a custom image recognition solution. I have a feeling my company's clients will appreciate being able to train their data privately on their own computer.
No catch! We are first and foremost trying to make this technology accessible to as many people as possible, and we want to grow an ecosystem around it. Business models around that can come later.
Yep we are starting with image classification for this initial beta launch, but plan to expand to more data types and problem types in future releases! The vision is to make a tool usable by anyone to build custom machine learning
Hey Markus from Lobe here :) all images and labels stay private to your computer, we don't ever see any of it. We only collect some generic app usage data for telemetry if you opt-in to sharing analytics after installing Lobe.
We do ping online to check if an app update is available! It checks the current app version and our hosted app version to see if we should show a notification that an update is available and a link to our website download.
We do not send any app analytics when it is turned off.
You can read our privacy policy, but more than that, you could use any sort of network traffic visualizer to see that we are not lying we are not in the business of selling data, we are in the business of making machine learning accessible to everyone.
Where is the app-specific privacy policy? the link the footer links to some general "Microsoft privacy policy", which covers all kinds of things and if it has anything specific to this app, it's impossible to find.
On Memory Construction and Retrieval for Personalized Conversational Agents https://arxiv.org/abs/2502.05589