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Build a Segmentation Model with One Line of Code
Build and train a neural network model for image segmentation in the fastest way
Neural network models have proven to be highly effective in solving segmentation problems, achieving state-of-the-art accuracy. They have led to significant improvements in various applications, including medical image analysis, autonomous driving, robotics, satellite imagery, video surveillance, and much more. However, building these models usually takes a long time, but after reading this guide you will be able to build one with just a few lines of code.
Table of content
- Introduction
- Building blocks
- Build a model
- Train the model
Introduction
Segmentation is the task of dividing an image into multiple segments or regions based on certain characteristics or properties. A segmentation model takes an image as input and returns a segmentation mask:
Segmentation neural network models consist of two parts: