Encord is a tool that allows you to test, validate, and evaluate your models, as well as surface, curate, and prioritize valuable data for training, ultimately enhancing model performance.
This active learning platform accelerates all stages of bringing a computer vision model to production.
Features
- Auto-find label errors
- Search data with natural language search
- Debug models and boost performance
- Understand what impacts model performance
- Surface, curate, and prioritize valuable data
- Customize ML pipeline with integrations
Use Cases
- Test and validate computer vision models
- Evaluate model performance and identify errors
- Curate and prioritize data for training
- Enhance and optimize model performance
Suited For
- AI teams
- Data scientists
- Computer vision researchers
FAQ
Yes, Encord has pre-built integrations with cloud storage providers such as AWS, Azure, Google Cloud Storage, and Open Telekom Cloud OSS.
Yes, Encord provides an API and Python SDK for programmatic access to projects, datasets, and labels within the platform.
Yes, Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.