Semantic Segmentation
Semantic image segmentation
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.
Apps
Image Labeler | Label images for computer vision applications |
Video Labeler | Label video for computer vision applications |
Functions
Topics
Get Started
- Getting Started with Semantic Segmentation Using Deep Learning
Segment objects by class using deep learning. - Choose Function to Visualize Detected Objects
Compare visualization functions.
Create Ground Truth Data for Semantic Segmentation
- Label Pixels for Semantic Segmentation
Label pixels for training a semantic segmentation network by using a labeling app. - How Labeler Apps Store Exported Pixel Labels
Learn how the labeling apps store pixel label data.
Create Training Data for Semantic Segmentation
- Training Data for Object Detection and Semantic Segmentation
Create training data for object detection or semantic segmentation using the Image Labeler or Video Labeler. - Datastores for Deep Learning (Deep Learning Toolbox)
Learn how to use datastores in deep learning applications. - Get Started with Image Preprocessing and Augmentation for Deep Learning
Preprocess data for deep learning applications with deterministic operations such as resizing, or augment training data with randomized operations such as random cropping.