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.

This video explains how to use this workflow to do face detection using ApertureDB

Creating the workflow

Creating and deleting workflows

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

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1. Currently only one model is offered, but more may be available in the future
2. Decide whether you want to generate an embedding for each face extracted
3. Click the blue button at the bottom.

See the GitHub repository for more information

For more detailed information about what this workflow is doing, additional information about the parameters, and how to run the workflow outside of the ApertureDB Cloud, see the face-detection documentation in GitHub.

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.