Hi @Symbadian1 - yes, this is what I was referring to here:
You can use Modify Classes to create “raw image” dataset versions. A raw image dataset version would be one in which you generate a dataset with only Auto-Orient as a preprocessing step (and Modify Classes if you wanted new class names), and no augmentations.
After generating a raw image dataset for both projects and exporting them in COCO JSON or another format - with the desired class names created with Modify Classes - you can create new projects to upload the individual datasets to, and then merge the 2 new projects to receive all the desired classes in one combined dataset.
- alternatively, you can also add the two exported datasets to the same project when you upload the data, to avoid merging the datasets again.