Universal Data Tool
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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
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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Image Classification
Classify or tag images using the Universal Data Tool

Setup the Dataset

Navigate to udt.dev and click "New File"
Click "New File" on udt.dev
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!

Label your Data (with friends!)

Use the Label tab to label your data. Look at the Collaborative Labeling Guide to label with others.
An example Image Classification labeling task

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.
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Image Segmentation
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Text Classification
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Contents
Setup the Dataset
Import Data
Label your Data (with friends!)
Export and Use