Malaria Image Classification using Transfer Learning (VGG16)

The workflow focuses on using KNIME in order to employ transfer learning methods (VGG16 with imagenet weights) to do image classification on a Malaria dataset. All links for datasets are placed inside the workflows/components and can be accessed through there. Please download the dataset on your own as due to size constraints, it cannot be included with the uploaded workflow.

Special thanks to Anson's Github for helping me along.

Link: https://github.com/ansonnn07/image-classification