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NNotate

Visual Data Annotation Tool

Efficiently label images and videos for training deep learning models. Built for speed, precision, and seamless integration with Ngene’s AI toolchain.

NNotate simplifies the creation of high-quality labeled datasets for training object detection and segmentation models. It provides an intuitive interface for annotating both images and videos using bounding boxes (object detection) and polylines (segmentation).

 

Designed for industrial and research applications, NNotate includes built-in tools for dataset analysis, reporting, and integration into DeepLTK workflows.

Key Features​

Intuitive Interface

Clean, user-friendly interface for image and video annotation.

Bounding Box & PolyLine Support

Annotate with boxes or detailed shapes; switch easily between types.

Video Annotation

Frame-by-frame labeling with playback and navigation tools.

Live Camera Grabber

Capture annotated datasets directly from connected cameras.

Mask Generator Tool

Generate color-coded or encoded masks from polyline annotations.

Dataset Statistics & Reporting

Analyze label distribution, annotation density, and generate anchors for training (e.g., YOLO).

Keyboard Shortcuts

ccelerate workflow with extensive shortcut support.

Comprehensive Format Support

Supports JPG, PNG, BMP for images and AVI for videos.

Integration & Requirements

Installation & Activation

  • Delivered as a standalone installer (NNotate_vx.x.x.exe)

  • 15-day evaluation mode with limited annotation features

  • Activation via License Manager (requires internet access)

  • License can be deactivated and transferred between systems

System Requirements

  • OS: Windows 10
    RAM: 8 GB or more
    Disk Space: 2 GB free
    .NET Framework: Installed automatically if missing

Completes the Toolchain for Deep Learning Workflow in LabView

How it works

Deep Lerning Framework in LabVIEW

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Power Up Your AI Models with Better Data

Start creating high-quality annotated datasets with NNotate. From object detection to segmentation, streamline your labeling process and integrate seamlessly with DeepLTK.

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