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

Data Entry

Do any type of data entry with the Universal Data Tool

PreviousAudio TranscriptionNextVideo Segmentation

Last updated 4 years ago

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Setup the Dataset

Navigate to and click "New File"

Then select the Data Entry button from the Setup > Data Type page.

You can configure the Data Entry to create the right interface for your dataset. Use the Setup > Preview button to see your interface against either an example image or a sample from your dataset.

You can add a variety of different inputs by clicking the "Add Input" button.

Import Data

You can use virtually any method of importing for data entry datasets, here is a list of common import methods.

Label your Data (with friends!)

Export and Use

Each JSON sample looks like the following:

{
    "pdfUrl": "https://...", // or imageUrl, document etc.
    
    "annotation": { "FieldName": "..." }
}

You can use either JSON or CSV to export the Data Entry type. See the full for how the Data Entry JSON is formatted.

Import from AWS S3 Bucket
Import from List of URLs
Import from CSV or JSON
Upload or Open Directory
Import from Google Drive
Data Entry JSON Specification
udt.dev
Click "New File" on udt.dev
Configure the Data Entry interface
Input types available when you click Add Input
Example Data Entry Sample