Create a Skin Condition classification task#678

Merged

tharvik merged 20 commits intodevelopfrom swiss-tph-demo

May 31, 2024

+1,252-154

Commits on May 31, 2024

Integrate skin disease classification task

JulienVig
authored and
tharvik
committed
Move mobilenet model definitions to discojs/src/models folder

JulienVig
authored and
tharvik
committed
Clean dataset_builder and make dataset shuffling true by default

JulienVig
authored and
tharvik
committed
Improve skin_mnist model definition

JulienVig
authored and
tharvik
committed
Make image data selection mode default depend on the number of labels

JulienVig
authored and
tharvik
committed
Use pretrained mobilenet for transfer learning

JulienVig
authored and
tharvik
committed
Save transfer learning implementation

JulienVig
authored and
tharvik
committed
Fix validator getLabel for multi-class tasks

JulienVig
authored and
tharvik
committed
Make test page display image label names rather than label indices

JulienVig
authored and
tharvik
committed
Update skin mnist model architecture

JulienVig
authored and
tharvik
committed
Add a CSV creation example notebook to docs/

JulienVig
authored and
tharvik
committed
Link CSV creation notebook into the webapp data selection UI

JulienVig
authored and
tharvik
committed
Add link to resulting sample dataset

JulienVig
authored and
tharvik
committed
Remove mobilenet weights

JulienVig
authored and
tharvik
committed
Change skin mnist into skin condition task

JulienVig
authored and
tharvik
committed
Add the preprocessing notebook scin_dataset.ipynb to the examples

JulienVig
authored and
tharvik
committed
Make webapp GROUP data selection mode default if there are less than 3 labels

JulienVig
authored and
tharvik
committed
Reword data format description

JulienVig
authored and
tharvik
committed
Handle label name overflow on the test page

JulienVig
authored and
tharvik
committed
Link resulting sample dataset

JulienVig
authored and
tharvik
committed

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Create a Skin Condition classification task#678

Commits on May 31, 2024

Integrate skin disease classification task

Move mobilenet model definitions to discojs/src/models folder

Clean dataset_builder and make dataset shuffling true by default

Improve skin_mnist model definition

Make image data selection mode default depend on the number of labels

Use pretrained mobilenet for transfer learning

Save transfer learning implementation

Fix validator getLabel for multi-class tasks

Make test page display image label names rather than label indices

Update skin mnist model architecture

Add a CSV creation example notebook to docs/

Link CSV creation notebook into the webapp data selection UI

Add link to resulting sample dataset

Remove mobilenet weights

Change skin mnist into skin condition task

Add the preprocessing notebook scin_dataset.ipynb to the examples

Make webapp GROUP data selection mode default if there are less than 3 labels

Reword data format description

Handle label name overflow on the test page

Link resulting sample dataset