Do the save model and load model widgets work with image analytics?

[rehoyt]

I understand how the save model and load model widgets work with numerical data, but I question whether they work with image data. I uploaded ECG images (normal vs atrial fibrillation)(separate subfolders) to the image embedding widget and created a model with the logistic regression widget connected to the image embedding widget and the test and score widget. I saved the model as a pickle file.

I then uploaded a new folder of normal vs atrial fibrillation images to an import images widget and connected that to a prediction widget and the latter to the load model widget. The problem is that I don't believe the results or am I doing something wrong? The predictions vary between 0.46 and 0.56 for atrial fibrillation and for a normal ECG. See workflow below

[ajdapretnar]

Model performs just the modelling part (i.e. logistic regression). It does not embed the images. You are missing Image Embedding in between Import Images and Predictions.

[rehoyt]

Thanks. I added the image embedding widget to the workflow but the predictions are extremely low, whereas they were high in the model I saved and loaded for the new images. I used the Google Inception 3 CNN. See below

[image: image.png]

On Mon, Jan 10, 2022 at 2:51 AM Ajda @.***> wrote:

Model performs just the modelling part (i.e. logistic regression). It does not embed the images. You are missing Image Embedding in between Import Images and Predictions.

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Virginia Commonwealth University

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[rehoyt]

I chose another image dataset and everything was fine