Capture Data and Train a Model
Configure data capture and cloud sync, filter and tag captured data, and train an ML model.
Tag: Data Management
Configure Data Capture
Configure data capture to save data from components remote parts.
Upload and Retrieve Data with Viam's Data Client API
Use the data client API to upload and retrieve data directly to the Viam app.
Performance Monitoring Data Capture
Capture and sync data about your machines’ performance.
Sync captured data to the cloud with cloud sync
Configure cloud sync to automatically capture data in the Viam app.
Trigger Cloud Sync Conditionally
Trigger cloud sync to sync captured data conditionally.
View and Filter Data
View and filter data on the DATA page in the Viam Cloud.
Label Data and Create Datasets
Label data and create datasets for managing data and creating machine learning models.
Query Data with SQL or MQL
Query tabular data that you have synced to the Viam app using the data management service with SQL or MQL.
Train a Model
Train an image classification model on labeled image data.
Upload a Batch of Data
Upload data to the Viam app from your local computer or mobile device using the data client API, Viam CLI, or Viam mobile app.
Export Data
Download data from the Viam app to your local computer using the data client API or the Viam CLI.
Role-Based Access Control
Fleet and data management permissions.
Train and deploy image classification models
Use Viam’s machine learning capabilities to train image classification models and deploy these models to your machines.
Upload a Model to the Registry
Upload a Machine Learning model to the Viam registry to use it with the ML Model service.
Visualize Data with Dashboards
Visualize tabular data from the Viam app using popular tools like Grafana.
Deploy an ML Model 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 an ML Model in the Registry
Edit a machine learning model previously published to the registry.
Design your ML Models for Vision
Design your ML Model service to work with Viam’s vision services.
Configure a tflite_cpu
Configure a tflite_cpu ML model service to deploy TensorFlow lite models to your machine.
Data Management
Capture data from machines, sync it to the cloud, and access it and train image classification and object detection models on the data.
Machine Learning
Use Viam’s built-in machine learning capabilities to train image classification models and deploy these models to your machines.
Visualize Data With Grafana
Collect data from your machine or fleet and visualize it in Grafana.
Create a Facial Verification System
Create an alarm system that can detect people and can recognize faces, allowing it to smartly trigger alarms.