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Detect Faces Workflow

This workflow allows you to add bounding boxes for faces detected within images in ApertureDB using a pre-trained model. This means that you can use the bounding boxes to crop faces from images, find similar faces, or classify images based on the faces detected. This provides an easy way to add bounding boxes to your images, and to see how they can be used with real data.

For more detailed information about what this workflow is doing, see the face-detection documentation in GitHub.

Creating the workflow​

For general information on creating workflows in ApertureDB Cloud see Creating and Deleting Workflows.

Configure your workflow by selecting:

  • Which instance to use. If you only have one instance, there will be no options to select.
  • The model to use to detect faces. Currently, only one model is available, but more may be available in the future.
  • Whether to generate and store an embedding for each face detected.

Face Detection setup screen Once you have filled in the fields, click "Submit". Your workflow will be created and will start running.

See the results​

If you go to the "My Instances" page and click on "Connect" for the instance you used, you will see an option to go to the Web UI for your instance. You will see the number of bounding boxes in the database increase as the workflow runs. Click on the refresh button to update the count.

If you switch to the "Image Search" tab, you will see the faces detected in the images.