Semantic segmentation associates each pixel of an image with a class label, such as flower, person, road, sky, or car. Use the Image Labeler and the Video Labeler apps to interactively label pixels and export the label data for training a neural network.
|Semantic image segmentation using deep learning|
|Semantic segmentation quality metrics|
|Evaluate semantic segmentation data set against ground truth|
|Overlay label matrix regions on 2-D image|
|Count occurrence of pixel label for data source images|
|Neural network layer in a neural network that can be used to crop an input feature map|
|Create fully convolutional network layers for semantic segmentation|
|Create pixel classification layer for semantic segmentation|
|Create SegNet layers for semantic segmentation|
|Create U-Net layers for semantic segmentation|
Segment objects by class using deep learning
Label pixels for semantic segmentation using Image Labeler, Video Labeler, or Ground Truth Labeler app.
R-CNN, Fast R-CNN, and Faster R-CNN basics
Datastores for Deep Learning (Deep Learning Toolbox)
Learn how to use datastores in deep learning applications.