Clarifai Guide
Clarifai Home
v6.3
v6.3
  • Introduction
  • Getting Started
    • Quick Start
    • Applications
      • Create an Application
      • Base Workflows
      • Application Settings
      • Collaboration
    • Authentication
      • App-Specific API Keys
      • Personal Access Tokens
      • Scopes
      • Authorize
    • Glossary
  • API Guide
    • API overview
      • API Clients
      • API Technical References
      • Status Codes
      • Pagination
      • Patching
    • Inputs
      • Create, Get, Update, Delete
      • Supported Formats
    • Concepts
      • Create, Get, Update
      • Languages
      • Search by Concept
      • Knowledge Graph
    • Annotations
      • Annotations
      • Positive and Negative Annotations
    • Model
      • Clarifai Models
      • Create, Get, Update, Delete
      • Deep Training
      • Evaluate
        • Interpreting Evaluations
    • Workflows
      • Create, Get, Update, Delete
      • Input Nodes
      • Workflow Predict
    • Predict
      • Images
      • Video
      • Prediction Parameters
      • Multilingual Classification
    • Search
      • Index Images for Search
      • Rank
      • Filter
      • Combine or Negate
      • Saved Searches
    • Walkthroughs
      • Custom Models
      • Auto Annotation
  • Portal Guide
    • Portal Overview
    • Inputs
    • Concepts
      • Create, Get, Update, Delete
      • Knowledge Graph
      • Languages
    • Annotate
      • Positive and Negative Annotations
    • Model
      • Clarifai Models
      • Deep Training
      • Evaluate
        • Interpreting Evaluations
    • Workflows
      • Input Nodes
    • Predict
    • Search
      • Rank
      • Filter
      • Combine or Negate
      • Saved Searches
    • Walkthroughs
      • Custom Models
      • Auto Annotation
  • Product Updates
    • Upcoming API Changes
    • Changelog
Powered by GitBook
On this page

Was this helpful?

  1. Portal Guide

Annotate

PreviousLanguagesNextPositive and Negative Annotations

Last updated 4 years ago

Was this helpful?

Annotations (sometimes called "labels") are how we "teach" machines to recognize concepts. When you want to create a custom model for your business, you do this by training this model to recognize the concepts that you have annotated on your sample data.

Annotations are similar to predictions, in that both are concerned with the concepts that your model can recognize. There is one important distinction to keep in mind: People make annotations about concepts Models make predictions about concepts

For step-by-step guides, visit Portal .

Walkthroughs
image