Train a Model
Train an image classification model on labeled image data.
Train an image classification model on labeled image data.
Upload a Machine Learning model to the Viam registry to use it with the ML Model service.
Deploy Machine Learning models to a machine and use the vision service to detect or classify images or to create point clouds of identified objects.
Edit a machine learning model previously published to the registry.
Design your ML Model service to work with Viam’s vision services.
Configure a tflite_cpu ML model service to deploy TensorFlow lite models to your machine.
Add an ML model modular-resource-based service which uses TensorFlow Lite to classify audio samples.