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How to train multi-class image classification model?

How to train multi-class image classification model?

I've uploaded the dataset to the platform and trained 7 models with the auto modeling tool. But when I check the trained models, most of them seem to be outlier detection models. The training set had 4 classes and all of them were separated into different folders. How do I build a multi-classification model?

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Oh my bad! I've set up the project as an outlier detection project by mistake. Thanks for the help though 😄

@shofam What you've described as putting the images into the different folders specifies them as separate classes and that is how one would build multi-class models.

When you evaluate the models using the Understand tab I presume you are able to identify the correct image classes from the models you've created, presuming you did not select the Anomaly detection option.


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