The doodleverse is an opinionated collection of Python packages designed for geoscientific image segmentation.

Package maintainers:

• @dbuscombe-usgs Marda Science / USGS Pacific Coastal and Marine Science Center. Developed originally for the USGS Coastal Marine Geology program, as part of the Florence Supplemental project
• @ebgoldstein

Currently, there are 3 packages:

• Dash-Doodler
  • For fast, interactive segmentation of imagery
  • For creation of training datasets for training Machine-Learning-based image segmentation models, for example Segmentation Gym
• Segmentation Gym
  • A neural gym for training image segmentation models based on fully convolutional models based on UNets
• Segmentation Zoo
  • A repository of pre-trained models

Packages are compatible, and share an underlying design and data structures