@gliff-ai/annotate
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gliff.ai ANNOTATE - a user friendly browser interface for annotating multidimensional images for machine learning
This repository contains the Open Source code for gliff.ai's ANNOTATE user interface. This user interface is just one part of gliff.ai's growing MLOps platform. ANNOTATE allows domain experts to annotate multidimensional images for developing imaging AI products. When used as part of gliff.ai's full platform ANNOTATE provides just one step in developing production-quality imaging AI whilst satisfying any relevant regulatory frameworks.
User documentation will be available soon.
Technical documentation will be available soon.
A preview build of the current main branch is here
Frontend code should be written in Typescript and transpiled using the options in tsconfig.json.
NPM should be used for package management.
npm run serve will run a local webpack developer server for quick access.
Please follow gliff.ai's Community Guidelines when contributing to this codebase.
Code should be linted with ESLint using .eslintrc.js and formatted with Prettier.
HTML + CSS, mark-up and mark-down should all be formatted using prettier.
npm run lint will lint the codebase.
Our GitHub Actions will also lint any pull requests before they're merged.
Code should be tested using Jest and React Testing Library.
npm run test will run any existing tests in our codebase.
Our GitHub Actions will also test any pull requests before they're merged.
GitHub Actions should be included under .github/workflows.
This code is licensed under a GNU AGPLv3 license. Our reasons for this are available here
FAQs
gliff.ai ANNOTATE - a user friendly browser interface for annotating multidimensional images for machine learning
The npm package @gliff-ai/annotate receives a total of 13 weekly downloads. As such, @gliff-ai/annotate popularity was classified as not popular.
We found that @gliff-ai/annotate demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
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