How to annotate the ground truth for image segmentation?

Question

I\'m trying to train a CNN model that perform image segmentation, but I\'m confused how to create the ground truth if I have several image samples?

Image segmentation ca

Answer 1

For semantic segmentation every pixel of an image should be labeled. There are three following ways to address the task:

1. Vector based - polygons, polylines

2. Pixel based - brush, eraser

3. AI-powered tools

In Supervisely, tools to perform 1,2,3 are available.

Below are two videos that compare polygon vs AI-powered tools: cars segmentation and food segmentation.

More details about annotation features of Supervisely can be found here.