
Label Studio
8.2#2 in image annotation softwareFrom $99 a monthFree planWebAPILinuxmacOS
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| Fact | Label Studio | LabelMe |
|---|---|---|
| Deployment | Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda. | The source code is intended to be installed on a web server and used through a browser; the repository includes Docker files for installation. |
| Founded | HumanSignal is listed as founded in 2019. | 2005 |
| License | The public Label Studio repository is released under the Apache-2.0 license. | The repository lists an MIT license. |
| Purpose | Label Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning. | LabelMe is a JavaScript tool for online image labeling that lets people access the tool from anywhere and collaborate without installing or copying the image dataset to their computers. |
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It suits teams preparing labeled datasets across several media types, from individual community users to organizations needing managed cloud or on-prem deployment. Developers can use its APIs, Python SDK, and webhooks to connect labeling work to other systems.
LabelMe suits researchers who need to annotate image datasets with polygons, scribbles, or masks and share the results. It is a fit for users prepared to install and configure a web server.