Encord

Encord is a comprehensive data platform designed for computer vision teams to develop, deploy, and evaluate predictive and generative vision applications, offering features for data management, model performance monitoring, and annotation processes.

Features of Encord

• Annotation Experience: Supports various annotation types like object detection, keypoint skeleton pose, and instance segmentation, providing a robust labeling experience.
• Workflows: Enables the creation of bespoke automated machine learning pipelines to enhance annotation staff productivity and quality.
• Automated Labeling: Utilizes model-assisted labeling for automated labeling, speeding up the labeling process for efficient deep learning training.
• Data-Driven Insights: Provides insights into label quality and annotator performance, improving workforce efficiency and model excellence.
• Active Learning Workflows: Offers an integrated active learning platform to prevent labeling errors, enhance annotation quality, and diagnose model issues.
• Integrations: Supports integrations with secure cloud storage and MLOps tools to seamlessly integrate with existing workflows.
• API/SDK Capability: Facilitates building active learning pipelines, streamlining data operations, and automating annotation with AI-assisted labeling through its collaborative labeling platform.