

Lilac
Overview :
Lilac empowers data and AI professionals to improve their products by enhancing data quality. It offers features such as data quality assessment, data cleaning, and data annotation. Lilac's strength lies in providing reliable data processing tools and techniques, helping users elevate data quality and consequently, boost AI model performance. Lilac's pricing is customizable based on user needs.
Target Users :
Lilac is designed for data professionals and AI practitioners who work with large datasets. It can be used for data cleaning, annotation, and quality assessment, providing high-quality data for AI models.
Use Cases
Clean an image dataset by removing noise and inconsistent labels
Annotate a text dataset by adding accurate labels to each sample
Evaluate the quality of a dataset, identifying and addressing outliers
Features
Data Quality Assessment
Data Cleaning
Data Annotation
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