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| Search for: Search Menu Close Home About Blog Projects Search for: Search Tobias Bichlmaier Blog Home About Blog Projects Semantic Segmentation with tf.Keras Tobias Bichlmaier on December 23, 2019 In this article I will talk about semantic segmentation with tf.keras and a possible implementation for recreating a simplified version of the U-Net Neural Network Architecture. This implementation is only an experiment and is not a made for any competition. I just wanted to explore semantic segmentation, while learning more about Machine Learning, Keras and more on Computer Vision. What is image segmentation? Image segmentation is the computer vision technique for understanding what is displayed on a pixel level. It is similar to image recognition, where objects are recognized (and probably localized). With segmentation the “recognition” happens on a pixel level. Therefore image segmentation gives information about the image contents more granularly. The main applications are: Photo/Video |
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