Hi, I’m doing active learning for my segmentation project. I have an “IMG folder” containing about 3000 images. My task is: First, loading 500 images of that IMG folder for training a model X; Second, using some constraint ( which is defined by is_collected() function) to collect next data ( also in that IMG folder)  for the next training phase, and so on…
What should I do with the loading Dataset?