This workflow trains a deep-learning model for image-classification with 2 or more custom image-classes.
The model is trained by transfer-learning of a VGG-16 base, pre-trained on the ImageNet dataset. The base remains frozen, only fresh dense classification layers added on top are trained.
If you use this workflow please cite:
Thomas LSV, Schaefer F and Gehrig J.
Fiji plugins for qualitative image annotations: routine analysis and application to image classification
[version 1; peer review: 1 approved with reservations]
F1000Research 2020, 9:1248 doi: 10.12688/f1000research.26872.1
Workflow
DL-VGG16-MultiClassification
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.2.3
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
Loading deployments
Loading ad hoc executions
Legal
By using or downloading the workflow, you agree to our terms and conditions.
Discussion
Discussions are currently not available, please try again later.