Computer vision based ML training data generation tool 🚀
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Updated
May 1, 2024 - JavaScript
Computer vision based ML training data generation tool 🚀
Web application for image labeling and segmentation
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.
The Jakarnotator is an annotation tool to create your own database for instance segmentation problem.
Staging-area for automatically collected experimental data for the SuperCon database with a curation interface with enhanced-document viewer and curation-ready interface
Develop a fully featured Node.js web app built on the Watson Discovery Service
A data preparation platform suitable for your next project.
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."