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:
https://hub.knime.com/knime/spaces/Examples/latest/04_Analytics/14_Deep_Learning/02_Keras/01_Classify_images_using_InceptionV3 and using the top k classes instead of only the best prediction.
best,
Gabriel
Dear @Chandra_S,
We ran a webinar about semantic image segmentation a few months ago. You can re-watch the recording at https://youtu.be/_Fmkqwrt_Gk?t=2684 and download the workflow that Benjamin is describing from https://kni.me/w/-Bs3paHwNKVHah3Q (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,
Stefan
This topic was automatically closed 90 days after the last reply. New replies are no longer allowed.