I'm running the front and backend of the consumer site on Heroku. The meat of pipeline is hosted on a DigitalOcean High CPU Droplet. I use ffmpeg to extract images from the provided videos. I store everything in Google Cloud Storage and create references to each photo in Firestore. I use Firebase to power for the image verifying/labeling app I built. Its a simple app that presents the viewer with the image and the label that it was given. If its not correct they enter the correct label. I use a cloud function to move the images into an exportable format for autoML once a new image threshold has been hit. Testing is me using it and seeing if it is correctly identifying the objects.