LabelFlow
  • ๐Ÿ‘‹Intro to LabelFlow
  • Labelling interface
    • ๐ŸคธQuick Start
    • ๐ŸŽŸ๏ธLabel Types
      • Image Classification
      • Bounding Boxes
      • Polygons
      • Auto Polygons
    • โœ๏ธEdit labels
    • ๐Ÿ—‚๏ธDatasets
    • ๐ŸŽจClasses
    • โŒจ๏ธShortcuts
  • โšกAI Assistants
    • ๐Ÿ‘ฉโ€๐ŸซPresentation
    • ๐ŸฅฅDETR - COCO
    • ๐Ÿ‘๏ธViT - ImageNet
  • Workspaces
    • ๐ŸขIntroduction to Workspaces
    • ๐Ÿ™‹โ€โ™€๏ธSign in
    • โž•Create a Workspace
    • ๐Ÿ“งInvite Members
    • ๐Ÿ’ธWorkspace Settings & Billing
  • Import a dataset
    • ๐Ÿ–ผ๏ธImport Images
      • Import Images from Files
      • Import Images from File URLs
    • ๐Ÿ–Š๏ธImport Annotations
    • ๐Ÿ“ฆMigrate a Dataset
  • Export a dataset
    • ๐ŸฅฅCOCO
    • ๐Ÿ‘๏ธYOLO
    • ๐ŸงพCSV
  • API
    • ๐Ÿ“–Presentation
    • ๐Ÿค“Getting Started
  • Support
    • ๐Ÿ’ฌDiscord Channel
    • โ“FAQ
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  1. Labelling interface

Label Types

PreviousQuick StartNextImage Classification

Last updated 3 years ago

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Choosing the right label type for your image annotation project is important. Classification tags will maximize your labeling productivity, while polygons will boost your AI performance and bounding boxes may be for some an acceptable compromise.

Good news, check the Auto polygons tool which creates a polygon by simply adding a bounding box.

LabelFlow supports the following labeling types:

  • Image classification

  • Bounding boxes

  • Polygons

  • Auto polygons (a polygon generated from a bounding box)

You can read more about the different label types on our dedicated post:

๐ŸŽŸ๏ธ
LabelFlow | Choosing the right image labeling types for AI trainingLabelflowAI
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