I would like to learn what are common best practice ways to manage image data for Deep Learning.
Currently my scenario is the following:
- Retrieving different collections of images
- Labeling the image using a labeling tool like CVAT
- Question: how to manage the data after the labeling step?
What is then the best way to manage the data from different sources that has been labeled? Do you store it to a database or export it just to the file system? How do you manage the data after it has been labeled?
What are your workflows for retrieving, labeling and managing image data?