Label ground truth in a collection of images
The Image Labeler app enables you to label ground truth data in a video or in a sequence of images. Use the app to interactively label rectangular regions of interest (ROIs) for object detection and pixels for semantic segmentation. The ROI labels define locations of objects in an image frame. The scene labels define and describe the labels pertaining to the entire image frame. You can use ROIs and pixel segmentation labels to mark objects, such as cars, pedestrians, and lane markers. Scene labels can be used to mark scene conditions, such as sunny or cloudy, or to mark events such as intersections. Use ROIs for object detection, pixel labels for semantic segmentation, and scene labels for image classification.
You can define and execute custom label automation algorithms with the Image Labeler
by creating an
MATLAB® Toolstrip: On the Apps tab, under Image Processing and Computer Vision, click the app icon.
MATLAB command prompt: Enter
imageLabeler opens the app, enabling you to label ground
truth data in images.
imageLabeler(imageFolder) opens the app and loads all the
images from the
imageLabeler(imgDatastore) opens the app and reads all of the
images from an
imageLabeler(sessionFile) opens the app and loads a saved
Image Labeler session,
sessionFile input contains the path and file name. The
sessionFile points to contains the saved