
U-Net Image Segmentation with Convolutional Networks
Last Updated on July 26, 2023 by Editorial Team
Author(s): Buse Yaren Tekin
Originally published on Towards AI.
Step 1: Obtaining the dataset
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In our age, semantic segmentation on image data is frequently used for computer vision. U-Net is a backbone network that contains convolutional neural networks for masking objects.
U+1F9F6U-Net takes its name from its architecture similar to the letter U as seen in the figure. The input images are obtained as a segmented output map at the output.
You can access the basic level information and working architecture of the U-Net network in the article Image Segmentation with U-Net. This article describes the step-by-step coding of the U-Net in the Python programming… Read the full blog for free on Medium.
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