It would be great to have more examples for fine-tuning in the library!
Similar to current examples for binary-segmentaion and multi-label segmentation would be great to have example for segmentation + classification head. The same camvid or oxford pet dataset can be used. As a classification target for these datasets, the "existence" of the class on the image can be used.
The example should showcase how to
fine-tune a model with pytorch-lightning (or any other fine-tuning framework, even a plain pytorch)
use loss function for segmentation and classification
compute metrics for classification and segmentation heads
It would be great to have more examples for fine-tuning in the library!
Similar to current examples for binary-segmentaion and multi-label segmentation would be great to have example for segmentation + classification head. The same
camvidoroxford petdataset can be used. As a classification target for these datasets, the "existence" of the class on the image can be used.The example should showcase how to
Docs on how to create a model with classification head.
In case anyone wants to work on this you are welcome! Just notify in this issue, and then ping me to review a PR when it's ready.