I am teaching a course on Computer Vision for Graduate Management Students using KNIME Image processing extension.

Can I get a work flow how to train and classify Images containg more than one object say a person in front a car in the background and some trees in other part all in one IMAGE.

Hi @Chandra_S,

that is quite the challenging classification task, the quickest solution would be using something like: and using the top k classes instead of only the best prediction.


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Dear @Chandra_S,

We ran a webinar about semantic image segmentation a few months ago. You can re-watch the recording at and download the workflow that Benjamin is describing from (just copy this link via Ctrl+C and go into your KNIME and paste into one of your folders in the KNIME Explorer).

Best regards,

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