There are 2 ways to describe Lobe. You may want to use their official description
Lobe helps you train machine learning models with a free, easy to use tool.Lobe AI Homepage
Or you may want to use the tool. Let’s review the 2nd one with a NNNN step tutorial.
Data Source Images
For this tutorial I’ll use a set of 24 drawings for fish, human and flowers. I have 8 drawings for each category in different folders.
Import and label Images
Ok, you probably have already installed the app, so let’s create a new project. I’ll name this project drawings.
The import button, will display a set of options. For this demo, I’ll go to DataSet, where I need to have all my images in a structured set of folders.
The import option also describes how to organize the images in folder.
Once we import the images, we will have the option to automatically label our images based on the folder name
This is the most user friendly step, we don’t need to train the model. I mean, once we have our images, Lobe will automatically start the training process in the background.
Depending the size of your training dateset, this may take some time. Once the model is trained, we can also see some output around the correct and incorrect predictions.
Test with new images
This is also cool. Once the model is trained we can test is in the Play section. In example, I’ve uploaded a custom fish model, and it’s predicted as a fish. I can confirm or assign the correct label in the Play area.
I’ve uploaded a couple more test images, and the background training process created a perfect model !!! (I know, I know …)
Export generated model
And another great feature is the Export option.
There are several options:
- TensorFlow Lite
- Local API
I haven’t used options 2 and 3, however option 1 is good enough to play around. It will include the TensorFlow frozen model, some supporting files, and a sample to use this in Python !
Super easy to start and learn without coding !