Leading data development platform for computer vision and multimodal AI
Manage, clean, and curate data effectively
Streamline annotation and labeling workflows
Evaluate and monitor AI model performance
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#Development & CodeEncord is a data development platform designed for computer vision and multimodal AI teams. It helps users manage, clean, and curate data, streamline labeling workflows, and evaluate model performance. The platform integrates advanced tools for annotation, model testing, and data management to accelerate AI model development and deployment.
- Comprehensive Data Development Platform: Provides an all-in-one solution for computer vision and multimodal AI teams to manage, clean, and curate data.
- Annotation & Workflow Tools: Build and scale labeling workflows to create Ground Truth data up to 10 times faster.
- Multi-Modal Support: Efficiently label various computer vision modalities including images, videos, medical imagery (DICOM & NifTI), synthetic-aperture radar, and documents.
- One-Click Automated Labels: Leverage state-of-the-art foundational models to speed up labeling projects and create high-quality training data faster.
- Customizable Workflows and Automated Pipelines: Integrate humans-in-the-loop to accelerate training data creation with fully customizable workflows and expert reviews.
- Model Testing & Evaluation: Monitor, troubleshoot, and evaluate the data and labels that impact model performance, identifying edge cases and conducting robustness tests.
- Powerful Error Analysis: Combine model predictions, vector embeddings, and visual quality metrics to reveal mistakes in your labels and data automatically.
- Data Curation & Management: Understand and manage visual data, prioritize data for labeling, and initiate active learning pipelines to improve model performance.
- Enhanced Data Exploration: Seamlessly filter, search, and visualize data to build structured datasets ready for annotation.
- Boost Model Performance: Build balanced datasets by identifying data outliers, underrepresented visual quality metrics, and corrupt images.
- Advanced Filtering Options: Filter data by brightness, RGB, contrast, and many more visual quality metrics to curate effective datasets.
- On-Demand Expert Labeling Services: Access thousands of expert labelers to scale labeling projects without compromising on data quality.
- Security Compliance: SOC2, HIPAA, and GDPR compliant with robust security and encryption standards to ensure data protection.
- Seamless Integrations: Connect with secure cloud storage, MLOps tools, and integrate seamlessly into existing workflows with dedicated integrations.
- Developer-Friendly API/SDK: Programmatically access projects, datasets, and labels within the platform using the API/SDK.
- Industry Adaptability: Suitable for various industries including healthcare, aerospace, agriculture, logistics, retail, and many more.
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Encord
Leading data development platform for computer vision and multimodal AI
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