The Encord platform assists computer vision teams in accelerating their AI model development processes. It offers a range of features and tools that enhance the labeling of data across various formats, from images to medical scans. With Encord, teams can benefit from customizable workflows, automated pipelines, and expert labeling services to ensure quality and efficiency. The platform also facilitates model performance evaluation through robust data analysis, helping to uncover issues and improve model outcomes. Trusted by leading AI organizations, Encord provides a secure and integrated solution to both manage enormous data sets and track model performance effectively.
How Encord can help you:
- Scale labeling workflows efficiently across numerous data modalities.
- Implement customizable workflows and automated pipelines for faster data annotation.
- Monitor and enhance labeling team performance with robust dashboards.
- Integrate active learning to strategically improve models with targeted data.
- Access on-demand expert labeling services to handle large-scale projects.
Why choose Encord: Key features
- Support for all key visual data formats, including 2D/3D medical imaging.
- One-click automated labels leveraging state-of-the-art foundational models.
- Powerful tools for error analysis and model fine-tuning.
- In-depth model performance evaluation using metrics like mAP, mAR, and F1 Score.
- Advanced filtering options for better dataset curation and model power.
- Secure, compliant platform with HIPAA, SOC2, and GDPR standards.
Who should choose Encord:
- Advanced computer vision teams looking to streamline their AI model development.
- Organizations aiming to deploy high-quality, production-ready AI applications quickly.
- Data scientists and machine learning engineers seeking integrated solutions for managing and understanding both data and model performance.
- AI specialists in medical and other industries requiring precise and efficient data annotation services.
