Automate visual recognition model training

Training a visual recognition model can be repetitive and tedious. Users generally have to manually upload and label each individual image. This code pattern shows how to automate these repetitive tasks by monitoring a set of folders using a Python script. As images are added to each folder, they'll be uploaded and labeled in IBM Maximo Visual Inspection. Once enough images have been uploaded, an image recognition model will be trained.