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

Image Classification

Classify or tag images using the Universal Data Tool

PreviousImage SegmentationNextText Classification

Last updated 4 years ago

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Setup the Dataset

Navigate to udt.dev and click "New File"

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

Import Data

You can use any of the following methods to import image data. If you're just getting started, you can quickly create a dataset using the COCO Images method!

  • Import COCO Dialog

  • Import from Google Drive

  • Import from AWS S3 Bucket

  • Import from List of URLs

  • Import from CSV or JSON

  • Upload or Open Directory

Label your Data (with friends!)

Use the Label tab to label your data. Look at the Collaborative Labeling Guide to label with others.

Export and Use

The image classification format is easy to use. If you'd like the data in a tabular format, download as CSV and consider taking a look at the Pandas Usage Guide (which makes it easy to load into python). You can also download the images into folders using the Fast.ai Image Classification Guide.

Click "New File" on udt.dev
An example Image Classification labeling task