D2 - Train image classifier
- Watch this video to set up the Machine Learning Environment (ML Environment).
Need a step by step guide?
- Click on the extension button at the bottom left.
- Search and choose Machine Learning Environment.
- Click Open ML Environment.
- Click Create New Project.
You can select from different project types.
- Click on the extension button at the bottom left.
- Create a new Image Classifier project.
Watch this video on how to classify, train and use the Machine Learning model.Need a step by step guide?
- Create a new Image Classifier project.
Ensure that there are at least two classes.
- Add at least 30 image samples to each class.
- Click on Train Model to start the training.
The more images and classes you use, the longer the training time.
- After the Machine Learning model is ready, click on Export Model.
This will bring you back to the main programme.
- Click on the open recognition window block. and test your Machine Learning model.
Can your model recognise the trained images? How confident is the model in recognising the different classes?
- Create a new Image Classifier project.