Use the Video Labeler app to interactively label ground truth data in a video or sequence of images. You can label rectangular regions of interest (ROIs) for object detection, pixels for semantic segmentation, and scenes for image classification. The app also includes computer vision algorithms to automate the labeling of ground truth data for use with detection and tracking algorithms. It also provides an API and workflow that enables you to import your own algorithms to automate the labeling of ground truth data.
To get started labeling a video, see Get Started with the Video Labeler.
|Video Labeler||Label video for computer vision applications|
|Object for storing ground truth data sources|
|Object for storing, modifying and creating label definitions table|
|Enumeration of supported label types|
|Enumeration of supported attribute types|
|Interface for algorithm automation in ground truth labeling|
|Mixin interface for adding temporal context to automation algorithms|
|Object for storing ground truth labels|
|Select ground truth data for a set of labels|
|Change file paths in data source and pixel label data of ground truth object|
|Create training data for semantic segmentation from ground truth|
|Datastore for pixel label data|
|Create training data for an object detector|
Decide which app to use to label your ground truth data: the Image Labeler, Video Labeler, and Ground Truth Labeler.
Interactively label rectangular ROIs, polylines, or pixels in a video or image sequence by using the Video Labeler app.
Create a reader function to load a custom data source into the Ground Truth Labeler or Video Labeler.
Use keyboard shortcuts and mouse actions to increase productivity while using the Video Labeler app.
Understand how ROI sublabels and attribute work in the Video Labeler and Ground Truth Labeler.
Label pixels for semantic segmentation using Image Labeler, Video Labeler, or Ground Truth Labeler app.
Create a custom tracking algorithm to import into the Image Labeler, Video Labeler, or Ground Truth Labeler app.
Create a time-based custom tracking algorithm to import into the Video Labeler or Ground Truth Labeler.
View a summary of label and scene definition labels in an Image Labeler, Video Labeler, or Ground Truth Labeler session.
Share and store labeled ground truth data that was exported from the Image Labeler, Video Labeler, or Ground Truth Labeler.
Understand how the labeler apps store pixel label data
Create training data for object detection or semantic segmentation using the Image Labeler, Video Labeler, or Ground Truth Labeler.