Kili Docs

Kili Docs

›Text & PDF interfaces

Introduction to Kili Technology

  • Introduction to Kili Technology
  • Kili Technology allows
  • Compatible browser

Getting Started

  • Getting started with Kili - Classification

Hosting

  • SaaS
  • On-Premise Data
  • On-Premise Entreprise

Concepts

  • Definitions
  • Status Lifecycle
  • Architecture

Users and roles

  • Roles by project
  • Users
  • Users and roles management

Projects

  • Audit labelers
  • Customize interface
  • Dataset
  • New project
  • Project overview
  • Projects
  • Projects list
  • Settings
  • Shortcuts

Image interfaces

  • Bounding Box
  • Classification
  • Point
  • Polygon
  • Polyline
  • Segmentation
  • Simple and intuitive interfaces

Text & PDF interfaces

  • Classification
  • Image transcription / OCR
  • Named entities recognition
  • Relations extraction

Video interfaces

  • Classification
  • Multi-frames classification
  • Multi-frames object detection
  • Transcription

Audio interfaces

  • Voice transcription / Speech to text

Data ingestion

  • Data ingestion made easy
  • Load data from a workstation
  • Load data from a public cloud
  • Data on premise or on private cloud
  • How to generate non-expiring signed URLs on AWS

Quality management

  • Consensus
  • Honeypot or Gold Standard
  • Instructions
  • Quality KPIs
  • Quality management
  • Questions and Issues
  • Review Process
  • Workload distribution

Automation

  • Human in the loop
  • Model based preannotation
  • Online learning
  • Queue prioritisation

Data export

  • Data export
  • Data format
  • Example

Python - GraphQL API

  • GraphQL API
  • Python API

Code snippets

  • Authentication
  • Create a Honeypot
  • Create a user
  • Creating Consensus
  • Delete the data
  • Export data
  • Export labels
  • Import data
  • Import labels
  • Prioritize assets
  • See the Consensus of an annotation
  • See the Honeypot of an annotation
  • Throttling

Recipes

  • AutoML for faster labeling with Kili Technology
  • Create a project
  • Exporting a training set
  • Importing medical data into a frame project
  • Importing assets
  • Import rich-text assets
  • Importing predictions
  • Reading and uploading dicom image data
  • How to query using the API
  • Labelled Image Data & Transfer Learning
  • Webhooks

Change log

  • Change log

Text and native PDF classification

Kili Technology provides a simple classification interface for text files and native PDF files. Text file (txt) are simple to manipulate and very common. Native PDF annotation allows to annotate the information within its context and to significantly improve models performances.

Single choice

For single choice, choose input: radio button.

Text illustration

Rich-text classification

Native PDF illustration

Multiple choice

For multiple choice, choose input: check box.

Dropdown

For dropdown choice, choose input: dropdown. Dropdown is especially relevant for long lists. It allows to search, and to filter out the list easily.

Nested classification

To build nested classification, choose input: radio button. See configuration in the customize interface section.

Text illustration

Native PDF illustration

Shortcuts

In your classification tasks, some shortcuts are automatically generated to speed your annotation process. For more details, see shortcuts section

← Simple and intuitive interfacesImage transcription / OCR →
  • Single choice
    • Text illustration
    • Rich-text classification
    • Native PDF illustration
  • Multiple choice
  • Dropdown
  • Nested classification
    • Text illustration
    • Native PDF illustration
  • Shortcuts