Universal Data Tool
  • Universal Data Tool Docs
  • Installation
  • Running On-Premise
  • Collaborative Labeling
  • Building and Labeling Datasets
    • Image Segmentation
    • Image Classification
    • Text Classification
    • Named Entity Recognition
    • Entity Relations / Part of Speech Tagging
    • Audio Transcription
    • Data Entry
    • Video Segmentation
    • Composite Interfaces
    • Landmark / Pose Annotation
  • Importing Data
    • Upload or Open Directories
    • Import File URLs
    • Import COCO Images
    • Import from Google Drive
    • Import from AWS S3 Bucket
    • Import from CSV or JSON
    • Import using AWS Cognito
    • Import Text Snippets
  • The Format .udt.json
    • What is the .udt.json format?
    • What is the .udt.csv format?
  • Machine Learning
    • Jupyter Notebook Integration
    • Import Datasets into Pandas
    • Fast.ai
      • Fast.ai Image Classification
      • Fast.ai Image Segmentation
  • Integrate with Any Web Page
    • Integrate with the Javascript Library
    • Getting Started with React
  • Train your Workforce
    • Getting Started with UDT Courses
  • Frequently Asked Questions
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On this page
  • Setup the Dataset
  • Import Data
  • Label your Data (with friends!)
  • Export and Use

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  1. Building and Labeling Datasets

Video Segmentation

Segment objects or parts of a video with the Universal Data Tool

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Last updated 4 years ago

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Setup the Dataset

Navigate to and click "New File"

Then select the Video Segmentation button from the Setup > Data Type page.

You can configure the Video Segmentation to create the right labels or segmentation region types for your dataset. Use the Setup > Preview button to see your interface against either an example image or a sample from your dataset.

Configuring Regions and Labels

The Video Segmentation interface allows different types of regions, the options for regions are:

  • bounding-box

  • polygon

  • point

Each region can any number of labels, which can be configured under "Available Labels"

Import Data

You can use any of the following methods to import video data.

Label your Data (with friends!)

The easiest way to use a Video Segmentation dataset is using the JSON or CSV format. You can use the timeline at the top to go to different frames of the video. Regions will automatically interpolate between frames.

Export and Use

Use the "Download JSON" or "Download CSV" button at the top when you're done labeling.

Import File URLs
Import from CSV or JSON
udt.dev
Click "New File" on udt.dev
Configure Video Segmentation Interface