Before you can start generating your synthetic data-set, you'll have to get some input images. You'll need to kinds of input images: Foreground images Background ...

medical-labelme is a graphical image annotation tool inspired by http://labelme.csail.mit.edu. It is written in Python and uses Qt for its graphical interface.

According to the requirements of the segmentation network for the dataset, Labelme software was used to annotate lettuce plants in this study. In addition, considering the difference in the growth ...