Choose an App to Label Ground Truth Data

You can use Computer Vision Toolbox™, Automated Driving Toolbox™, Lidar Toolbox™, and Signal Processing Toolbox™ apps to label ground truth data. Use this labeled data to validate or train algorithms such as image classifiers, object detectors, semantic segmentation networks, and deep learning applications. The choice of labeling app depends on several factors, including the supported data sources, labels, and types of automation.

One key consideration is the type of data that you want to label.

  • If your data is an image collection, use the Image Labeler app. An image collection is an unordered set of images that can vary in size. For example, you can use the app to label images of books for training a classifier.

  • If your data is a single video or image sequence, use the Video Labeler app. An image sequence is an ordered set of images that resembles a video. For example, you can use this app to label a video or image sequence of cars driving on a highway for training an object detector.

  • If your data includes multiple time-overlapped signals, such as videos, image sequences, or lidar signals, use the Ground Truth Labeler (Automated Driving Toolbox) app. For example, you can label data for a single scene captured by multiple sensors mounted on a vehicle.

  • If your data is only a lidar signal, use the Lidar Labeler (Lidar Toolbox). For example, you can use this app to label data captured from a point cloud sensor.

  • If your data consists of single-channel or multichannel one-dimensional signals, use the Signal Labeler (Signal Processing Toolbox). For example, you can label biomedical, speech, communications, or vibration data. To perform audio-specific tasks, such as speech detection, speech-to-text transcription, and recording new audio, use the Audio Labeler (Audio Toolbox) app.

This table summarizes the key features of the labeling apps.

Labeling AppData SourcesLabel SupportAutomationAdditional Features
Image Labeler

  • Image collections

  • Rectangle regions of interest (ROIs)

  • Projected cuboid (ROIs)

  • Line ROIs

  • Pixel ROIs

  • Sublabels

  • Attributes

  • Scenes

  • Built-in automation algorithms

  • Custom automation algorithms

  • View visual summary of labeled data

Video Labeler

  • Videos

  • Image sequences

  • Custom image data sources

  • Rectangle ROIs

  • Projected cuboid (ROIs)

  • Line ROIs

  • Pixel ROIs

  • Sublabels

  • Attributes

  • Scenes

  • Built-in automation algorithms

  • Custom automation algorithms

  • Temporal automation algorithms

  • View visual summary of labeled data

Ground Truth Labeler (Automated Driving Toolbox)

  • Videos

  • Image sequences

  • Custom image data sources

  • Point cloud sequences (PCD or PLY files)

  • Velodyne® lidar files

  • Rosbags (requires ROS Toolbox)

  • Rectangle ROIs

  • Projected cuboid (ROIs)

  • Cuboid ROIs

  • Line ROIs

  • Pixel ROIs

  • Sublabels

  • Attributes

  • Scenes

  • Built-in automation algorithms, including vehicle and lane detection algorithms and a point cloud temporal interpolation algorithm

  • Custom automation algorithms

  • Temporal automation algorithms

  • View visual summary of labeled data

  • Connect external tool to app for displaying time-synchronized signals, such as lidar or CAN bus data

  • Customize loading interface to support additional data sources

Lidar Labeler (Lidar Toolbox)

  • Point cloud sequences (PCD or PLY files)

  • Velodyne lidar files

  • LAS/LAZ file sequences

  • Rosbags (requires ROS Toolbox)

  • Cuboid ROIs

  • Attributes

  • Scenes

  • Built-in automation algorithms, including a lidar object tracker and point cloud temporal interpolator

  • Custom automation algorithms

  • Temporal automation algorithms

  • View the cuboid labels in top, side, and front views

  • Save and reuse custom camera views

  • Connect to external tool to display time-synchronized signals for ease of labeling, such as videos, to use as a reference while labeling

Signal Labeler (Signal Processing Toolbox)

  • Numeric arrays, MATLAB® timetables, and labeledSignalSet objects in the MATLAB workspace

  • MAT-files and CSV files

  • Time-based ROIs

  • Time-based points

  • Attributes

  • Sublabels

  • Built-in peak labeling

  • Custom automation algorithms

  • Expand, collapse, and browse details of labeled data

  • View signal spectra and spectrograms

  • Label ROIs and points using the spectrogram

  • Label signals in bulk

  • Use Label Viewer to view and compare labels

Audio Labeler (Audio Toolbox)

  • Audio files (WAVE, OGG, FLAC, AU, AIFF, AIFC, MP3, MPEG-4 AAC)

  • labeledSignalSet objects in the MATLAB workspace or in MAT-files

  • Time-based ROIs

  • File-level labels

  • Speech detection

  • Speech-to-text transcription (requires Audio Toolbox™ extended functionality for speech2text)

  • Audio playback

  • Audio recording

  • Inspect audio file information

Related Topics

Computer Vision Toolbox Documentation

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