FAQ from Dioptra
What is Dioptra?
Dioptra is an open source data curation and management platform designed for computer vision, natural language processing (NLP), and large language models (LLMs). It helps users curate valuable unlabeled data, register metadata, diagnose model failure modes, and integrate with labeling and retraining stacks.
How to use Dioptra?
1. Curate the most valuable unlabeled data to improve domain coverage and model performance.n2. Register your metadata to Dioptra to ensure your data remains with you.n3. Diagnose root cause model failure modes and regressions using Dioptra's data centric toolkit.n4. Use active learning miners to sample the most valuable unlabeled data.n5. Integrate with your labeling and retraining stack using Dioptra's APIs.
How does Dioptra work?
Dioptra helps you curate valuable unlabeled data, register metadata, diagnose model failure modes, and integrate with labeling and retraining stacks.
What are the core features of Dioptra?
The core features of Dioptra include data curation, metadata registration, diagnostics, active learning miners, and integration with labeling and retraining stacks.
What are some use cases for Dioptra?
Dioptra can be used to improve model accuracy on challenging cases, shorten training cycles, reduce labeling costs, and curate data at scale for specific use cases.
Is pricing information available?
For pricing information, please visit the Dioptra website or contact us.