Work with ML Training Jobs with Viam's ML Training API
Use the ML training client API to manage ML training jobs taking place in Viam’s cloud app.
Use the ML training client API to manage ML training jobs taking place in Viam’s cloud app.
Train an image classification model on labeled image data.
Upload a Machine Learning model to Viam 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.
Create a robot babysitter with a webcam and machine learning.