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Label Studio vs MakeSense.ai

Both stand on image annotation software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Label Studio

Free plan Open source APILinuxMac+3

Label Studio covers a wide range of annotation workflows, deployment options, and integrations. Community Edition is free, while Starter Cloud and Enterprise add hosted or enterprise-oriented services at listed or custom prices.

Visit Label Studio

MakeSense.ai

Free plan Open source LinuxMacSelf-hosted+2

Pick MakeSense.ai if you need a free browser tool for photo annotation and dataset preparation, especially for a small computer vision project. Check that its format matrix supports your annotation and import/export needs before choosing it, since some combinations are not yet available.

Visit MakeSense.ai

The facts

Label StudioMakeSense.ai
Free planYesYes
Open sourceYesYes
Runs onAPI, Linux, Mac, Self-hosted, Web, WindowsLinux, Mac, Self-hosted, Web, Windows
Lowest paid planStarter Cloud: $99 a monthFree or on request
Plans published31
MakerNot publishedNot published
Websitelabelstud.iomakesense.ai
On image annotation software#1 of 28#2 of 28

Label Studio: what it does well

  • Supports text, image, audio, video, and time-series labeling
  • Offers APIs, Python SDK, and webhooks
  • Can be deployed on premises or in cloud
  • Free Community Edition available
  • Enterprise offers SSO and priority support

What to know first

  • Starter Cloud costs $99 a month
  • Each additional Starter Cloud user costs $49 a month
  • Enterprise pricing is custom

MakeSense.ai: what it does well

  • Runs in a browser across operating systems.
  • Supports five annotation types, including polygons and labels.
  • Offers listed AI integrations including YOLOv5, SSD and PoseNet.
  • Images are not sent to a server, according to the project.
  • Licensed under GPL-3.0.

What to know first

  • Some annotation and import/export format combinations are not yet supported.
  • Custom models must be YOLOv5 exports in TensorFlow.js format.

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