RTIInternational/SMART
Smarter Manual Annotation for Resource-constrained collection of Training data
This application helps data scientists and research teams create high-quality training datasets for machine learning models. You provide raw, unlabeled data, and SMART helps you efficiently add labels to it, resulting in a ready-to-use dataset for training your models. It's designed for anyone working with supervised machine learning who needs to manually annotate data.
229 stars. No commits in the last 6 months.
Use this if you need an efficient way to manually label data for supervised machine learning tasks, especially when resources are limited.
Not ideal if your data labeling can be fully automated or if you are looking for an unsupervised learning solution.
Stars
229
Forks
31
Language
Python
License
MIT
Category
Last pushed
Dec 02, 2024
Commits (30d)
0
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