S
SMART Open source
Smarter Manual Annotation for Resource-constrained collection of Training data
Annotation & LabelingSmarter Manual Annotation for Resource-constrained collection of Training data
Open-source data tool (MIT license, 230★). Source: GitHub (RTIInternational/SMART).
From the blog
Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Practical Guide to Scaling Synthetic Data Solutions
Imagine handling a growing machine learning project with increasing demands for training data. Traditional data methods can't keep up, making synthetic…
Read more →Mastering Synthetic Data Generation: From Concepts to Deployment
Synthetic data is more than a trend; it's a crucial tool for building strong AI models, especially when real-world data is scarce, sensitive, or…
Read more →