FAQ from Dioptra
What is Dioptra?
Dioptra is an open-source platform designed for data curation and management, tailored for computer vision, NLP, and LLMs. It aids users in curating critical unlabeled data, managing metadata, diagnosing model issues, and integrating with labeling and retraining stacks.
How to use Dioptra?
1. Curate the most critical unlabeled data to improve model performance.
2. Register your metadata with Dioptra.
3. Diagnose and understand model failure modes and regressions using Dioptra's toolkit.
4. Use active learning miners to sample valuable unlabeled data.
5. Integrate with your labeling and retraining stack using Dioptra's APIs.
How does Dioptra work?
Dioptra helps you curate valuable unlabeled data, manage metadata, diagnose model issues, and integrate with labeling and retraining systems.
What are the core features of Dioptra?
Dioptra's core features include data curation, metadata management, diagnostics, active learning miners, and integration with labeling and retraining processes.
What are some use cases for Dioptra?
Dioptra is used to enhance model accuracy on challenging tasks, shorten training times, reduce labeling costs, and curate data at scale for specific purposes.
Is pricing information available?
For pricing details, please visit the Dioptra website or contact their support team.