Firebase ML stores your AutoML training datasets differently, depending on
your project's pricing plan. When your project is on the Blaze pricing plan,
Firebase ML creates a new Cloud Storage bucket in your project to store
AutoML Vision Edge data. When your project is on the Spark pricing plan,
Firebase ML stores your AutoML Vision Edge data internally instead of using
your project's Cloud Storage.
If you create a dataset while on the Spark pricing plan and later upgrade to the
Blaze plan, your dataset will be available, but will still be subject to the
limitations of the Spark plan (these datasets are labeled
Spark datasets
in
the Firebase console). If you want your dataset to take advantage of Blaze
features, such as unlimited training examples (billed by storage use), you'll
have to migrate the Spark dataset to a new dataset.
To migrate a dataset:
Open the
AutoML section
of the
Firebase console. (Select your project when prompted.)
On the dataset you want to migrate, click
View
to open the details page,
then click
Export dataset
. You will download a zip file containing the
dataset's training images and labels.
Create a new dataset by uploading the zip file.
(See
Train your model
.)