MarcoForte/DeepInteractiveSegmentation
Getting to 99% Accuracy in Interactive Segmentation and Interactive Training and Architecture for Deep Object Selection
When editing images, this project helps you quickly and precisely select specific objects or regions, even complex ones, with minimal effort. You provide an image and a few clicks to indicate your target object, and it outputs a highly accurate selection mask. This is ideal for graphic designers, photo editors, and visual artists who need to isolate elements for compositing or further manipulation.
117 stars. No commits in the last 6 months.
Use this if you need to extract objects from images with very high accuracy using minimal manual input.
Not ideal if you need a fully automatic segmentation solution without any interactive input.
Stars
117
Forks
18
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 10, 2020
Commits (30d)
0
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