Use the Image Labeler and the Video Labeler app to interactively label ground truth data in a collection of images, 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.
|Attribute type enumerations for labeling|
|Change file paths in ground truth data|
|Label type enumerations for labeling|
|Select ground truth labels by label group|
|Select ground truth labels by label type|
|Select ground truth labels by label name|
|Create training data for an object detector|
|Datastore for pixel label data|
|Create training data for semantic segmentation from ground truth|
|Ground truth label data|
|Object for storing, modifying and creating label definitions table|
|Create label definitions table from the label definition creator object|
|Display information about a label, sublabel, or attribute stored in label definition creator object|
|Add label to label definition creator object|
|Add sublabel to label in label definition creator object|
|Add attributes to label or sublabel in label definition creator object|
|Modify a label group name|
|Change group name|
|Modify description of label or sublabel in label definition creator object|
|Modify description of attribute in label definition creator object|
|Remove label from label definition creator object|
|Remove sublabel from label in label definition creator object|
|Remove attribute from label or sublabel in label definition creator object|
|Ground truth label data|
|Interface for algorithm automation in ground truth labeling|
|Initialize state for algorithm execution (optional)|
|Run label automation on every frame in interval|
|Terminate automated algorithm (optional)|
|Set up validation (optional)|
|Validate signal type|
|Validate label definition|
|Display algorithm settings (optional)|
|Mixin interface for adding temporal context to automation algorithms|
|Set reverse algorithm automation flag|
Decide which app to use to label ground truth data: Image Labeler, Video Labeler, or Ground Truth Labeler.
Interactively label rectangular ROIs for object detection, pixels for semantic segmentation, and scenes for image classification.
Interactively label rectangular ROIs, polylines, or pixels in a video or image sequence.
Use keyboard shortcuts and mouse actions to increase productivity while using the Image Labeler app.
Use keyboard shortcuts and mouse actions to increase productivity while using the Video Labeler app.
Create a reader function to load a custom image data source into the Ground Truth Labeler or Video Labeler.
Label pixels for training a semantic segmentation network by using a labeling app.
Learn how ROI sublabels and attributes work in labeling apps.
View a summary of ROI and scene labels in a labeling app session.
Share and store labeled ground truth data exported from labeling apps.
Learn how the labeling apps store pixel label data.
Create training data for object detection or semantic segmentation using the Image Labeler or Video Labeler.