https://github.com/vanvalenlab/deepcell-label

Cloud-based data annotation tools for biological images
https://github.com/vanvalenlab/deepcell-label

annotate-images biology flask image-segmentation javascript python react xstate

Last synced: 2 months ago
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Cloud-based data annotation tools for biological images

• Host: GitHub
• URL: https://github.com/vanvalenlab/deepcell-label
• Owner: vanvalenlab
• License: other
• Created: 2018-11-29T00:25:29.000Z (about 6 years ago)
• Default Branch: main
• Last Pushed: 2024-02-14T01:25:23.000Z (11 months ago)
• Last Synced: 2024-05-21T17:00:52.315Z (8 months ago)
• Topics: annotate-images, biology, flask, image-segmentation, javascript, python, react, xstate
• Language: JavaScript
• Homepage: https://label.deepcell.org
• Size: 41.8 MB
• Stars: 67
• Watchers: 9
• Forks: 14
• Open Issues: 68
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# DeepCell Label: Cloud-Based Labeling for Single-Cell Analysis

[![Build Status](https://github.com/vanvalenlab/deepcell-label/workflows/tests/badge.svg)](https://github.com/vanvalenlab/deepcell-label/actions)

[![Coverage Status](https://coveralls.io/repos/github/vanvalenlab/deepcell-label/badge.svg?branch=main)](https://coveralls.io/github/vanvalenlab/deepcell-label?branch=main)

[![Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/vanvalenlab/deepcell-label/blob/main/LICENSE)

DeepCell Label is a web-based tool to visualize and label biological images. It can segment an image, assign cells across a timelapse, and track divisions in multiplexed images, 3D image stacks, and time-lapse movies.

As it's available through a browser, DeepCell Label can crowdsource data labeling or review, correct, and curate labels as a domain expert.

The site is built with [React](https://reactjs.org/), [XState](https://xstate.js.org/docs/), and [Flask](https://flask.palletsprojects.com/en/2.0.x/) and [runs locally](/documentation/LOCAL_USE.md) or [on the cloud](/documentation/DEPLOYMENT.md).

Visit [label.deepcell.org](https://label.deepcell.org) to create a project from an example file or your own .tiff, .png, or .npz. Dropdown instructions are available while working on a project in DeepCell Label.