AutoML Vision enables you to train machine learning models to
classify your images according to your own defined labels.
Train models from labeled images and evaluate their performance.
Leverage a human labeling service for datasets with unlabeled images.
Register trained models for serving through the AutoML API.
AutoML Vision Edge now allows you to export your custom trained models.
AutoML Vision Edge allows you to train and deploy low-latency, high accuracy models optimized for edge devices.
With Tensorflow Lite, Core ML, and container export formats,
AutoML Vision Edge supports a variety of devices.
Hardware architectures supported: Edge TPUs,
ARM and NVIDIA.
To build an application on iOS or Android devices you can use
AutoML Vision Edge in ML
Kit. This solution is available via Firebase and offers an
end-to-end development flow for creating and deploying custom models to
mobile devices using ML Kit client libraries.