We're very excited to announce a new integration with Microsoft Power Platform, enabling you to build no-code apps and automations with Lobe models! ๐
Learn more in our blog post here ๐ https://t.co/LTHjT8FrRp
AI for all! ๐ค
In my latest post in the #SummerOfAi series I cover many Low-Code and No-Code AI solutions and also show how Iโve built the Edge AI solution with @Lobe_ai and @adafruit Raspberry Pi ML Kit. ๐ค
https://t.co/tpNGHYXYoC
#AI#DeepLearning#DNN#ML#MachineLearning
.@Adafruit is helping makers of all ages and skill levels learn how to leverage electronics, technology, and programming. Here is what its founder, Limor Fried, created with the Adafruit + @Lobe_AI maker kit. https://t.co/nmRtky5Ocy
โ๏ธ Introducing our REST Server starter project. A fully functional and universal server written in Flask with all the code you need to get your model up and running and giving predictions back to all your apps.
Check it out ๐ https://t.co/Vz2KaIibrg
โก๏ธ The most universal way of sharing your model is through the internet. Thatโs why we build our React Web starter project, with all the code you need to get your model up on your website.
Check it out ๐ https://t.co/FrcD9JoSx6
๐ค Bring your machine learning ideas to life with our Android starter project. A fully functional app with all the code you need to get your model up and running on your phone.
Check it out ๐ https://t.co/0zeLFMJbvS
๐ฑ Start using your model with the iOS starter project. A fully functional app with all the code you need to get your model up and running on your iPhone or iPad.
Check it out ๐ https://t.co/NqWjTTd7up
๐ฎ Want to learn more about how to export your model? Our brand new blogpost will show you all the new export options that Lobe 0.9 introduced, and call out the best ones for your projects.
Check it out ๐ https://t.co/MNO30Gka24
๐ The fastest way to test your model is to connect it to Lobe directly. Thatโs why the new Lobe Connect API introduces better snippets, a more robust endpoint, and overall better instructions. Read more and update at https://t.co/04ujMSL7ch
@Merzmensch We haven't officially tested the RPi 400, but it should work! Our 3 tutorials & sample code were tested w/ RPi 4 & camera v2 module. but the 400 doesn't have the connector for the v2, so our samples may need tweaks to work for a USB camera.
๐ See your machine learning models come to life with the new Machine Learning Kit for Raspberry Pi and Lobe. The kit includes all the hardware you need, easy, medium and hard tutorials, Lobe stickers, and more.
Check it out ๐ https://t.co/23JPNMx5Ho
๐ The new version of Lobe condenses all the model files in one place called Export, with the old options of Core ML, TensorFlow, TensorFlow Lite and TensorFlow.js, and a much more improved ONNX option. Read more and update at https://t.co/04ujMSL7ch
Shameless plug for work that we've been doing with @Adafruit to make it easier to experiment with #MachineLearning at the edge. This kit has everything you need to build interesting, computer-vision powered devices using Microsoft's @Lobe_AI to train your models.
We also have 3 tutorials to walk you through all the details. The final project is a package detector that emails you when a package is left at your front door ๐ฆ
https://t.co/A7w0NQ3KTI
Exciting announcement ๐ค
We are stoked to introduce our new Machine Learning Kit in partnership with Adafruit. This kit has everything you need to build your machine learning ideas with a Raspberry Pi and all of its components.
Check it out ๐ https://t.co/Kz3Gv54lYw