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Lobe 2.0 - Machine learning made easy

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Lobe helps you train machine learning models with a free, easy to use app. Just show it examples of what you want it to learn, and it automatically trains a custom machine learning model that can be shipped in your app. No code or experience required.

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Darryl Pearson
Machine Learning made easy! If I, an industrial engineer with no programming background, can understand what is happening in this product than anyone can. Looking forward to continuing to use!
Ramon Gilabert Llop
Maker
@darryl_pearson We can't wait to see it Darryl!
Bill Barnes
Maker
@darryl_pearson Yes hope you’ll post to our subReddit /r/Lobe to talk about what problems you’re hoping to solve!
Keith Alban Patterson
Amazing to see a product that provides such an elegant, simple solution to a complicated topic. Great job to the Lobe team and excited to see what they have in store for the future.
Ramon Gilabert Llop
Maker
@keith_alban_patterson thank you very much Keith! 😊
Gopi Kumar
This is a quick and fun way to start building computer vision models. You dont need to be an ML expert not need to understand any math or even write code to get started. And best of all it is totally FREE and you can run in on your own local Windows or Mac.
Markus Beissinger
Maker
@zenlytix Thanks Gopi! We are extremely focused on reducing the friction to get started -- making it free and having no account or experience requirements means even more people are able to start solving their problems using ML :)
cody mikol
Very cool, looking forward to using this : )
Lalo
Congrats on the launch! Crazy to see all these specialized tooling built around ML, and more coming from a huge player like Microsoft.
Jacob Cohen
Maker
@lalo thanks so much! We're excited to make machine learning more accessible :)
Ayoola John
It looks so simple! 🤩
Ramon Gilabert Llop
Maker
@ayoolajohn_ thank you! We've been hard at work for the past 18 months trying to simplify the process of building a model as much as possible, so anyone can have access to this amazing technology! 😊
Ivan Zenkovich
looks really nice and clean
Ramon Gilabert Llop
Maker
@ivan_zenkovich Thanks Ivan! Means a lot (: let us know if you need help when trying it out!
Linen & Sole
Stoic
It will be really amazing if RNNs can be implemented on your service. Text based sentiment analysis based on subjective user lexicons.
Markus Beissinger
Maker
@linenandsole yep! Image classification is just the beginning here - we want to expand the data and problem types supported going forward.
Zach R Baker
Mmm daddy like
Mark McDonnell
Very impressive, you've made machine learning intuitive, with a fast time to value, and at no cost. Couldn't be more approachable, and has limitless applications. The demo video was excellent, and showed how you can train a model to detect drinking water for healthier habits. Well done!
Jacob Cohen
Maker
@mark_mcdonnell thank you so much Mark for the kind words!
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