Quickstart

To ensure a machine learning model you create performs well, you need to train it on a variety of images that cover the range of things your machine should be able to recognize.

To train a model, you need a dataset that meets the following criteria:

  • the dataset contains at least 15 images
  • at least 80% of the images have labels
  • for each selected label, at least 10 bounding boxes exist

This quickstart explains how to create a dataset that meets these criteria for your training purposes.

Prerequisites

TODO flesh out

  • machine
  • Viam account

Connect machine to the Viam app

Add a new machine in the Viam app. On the machine’s page, follow the setup instructions to install viam-server on the computer you’re using for your project. Wait until your machine has successfully connected to the Viam app.

Add a camera to your machine

Follow the guide to configure a webcam or similar camera component.

TODO CARDS

  1. capture
  2. annotate
  3. train

Next

Capture