Web application for image labeling and segmentation
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Updated
Dec 9, 2022 - JavaScript
Web application for image labeling and segmentation
Computer vision based ML training data generation tool 🚀
A lightweight web application for brushing labels onto time series data; useful for building training sets.
Minimal customization of Quill.js Rich Text Editor for easy annotation of text snippets for NER model training with spaCy.
Develop a fully featured Node.js web app built on the Watson Discovery Service
A data preparation platform suitable for your next project.
Staging-area for automatically collected experimental data for the SuperCon database with a curation interface with enhanced-document viewer and curation-ready interface
The Jakarnotator is an annotation tool to create your own database for instance segmentation problem.
Add a description, image, and links to the training-data topic page so that developers can more easily learn about it.
To associate your repository with the training-data topic, visit your repo's landing page and select "manage topics."