Iām working on an image detection model. The current dataset has ~900 images annotated and about 2,000 unannotated images. Am I able to train a model on the currently annotated images and then continue to add more to the same dataset and re-train?
Thank you!
Yes @klogan ! If I understand you correctly, it is possible to do that. What you would see after adding to that dataset and creating a version is a new version with the larger count of annotated images. You can see here I started with 133 images, then got 9 more annotated and created another version with 142 images. Both have their own models and you can go back to either version to see the images used with that particular model.
