This is the Linux app named Label Studio whose latest release can be downloaded as 1.7.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Label Studio
DESCRIPTION
The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Detect objects on image, bboxes, polygons, circular, and keypoints supported. Partition image into multiple segments. Use ML models to pre-label and optimize the process. Label Studio is an open-source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models. The frontend part of Label Studio app lies in the frontend/ folder and written in React JSX. Multi-user labeling sign up and login, when you create an annotation it's tied to your account. Configurable label formats let you customize the visual interface to meet your specific labeling needs. Support for multiple data types including images, audio, text, HTML, time-series, and video.
Features
- Image Classification
- Put images into categories
- Detect objects on image, bboxes, polygons, circular, and keypoints supported
- Partition image into multiple segments
- Use ML models to pre-label and optimize the process
- Object Detection
- Semantic Segmentation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/label-studio.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
