Encord Annotate is the labeling module of Encord’s data platform, built for teams working across a broad range of visual and sensor modalities, including specialized formats common in medical and industrial AI. It emphasizes scalable, human-in-the-loop pipelines with quality control for organizations that need auditable annotation at volume.
Supported modalities
Beyond standard image and video labeling, the platform supports 3D point clouds and LiDAR with multi-sensor fusion, DICOM and NIfTI medical imaging with axial, coronal, and sagittal views, synthetic aperture radar (SAR), documents, text, audio, and ECG data. Annotation types include bounding boxes, rotatable boxes, polygons, polylines, keypoints, bitmasks, and 3D primitives.
Key features
- Multimodal labeling across image, video, 3D/LiDAR, DICOM/NIfTI, and SAR
- Automated annotation powered by Segment Anything and other foundation models
- Configurable multi-stage workflows with review and quality metrics
- Object tracking and interpolation for video and sequential data
- APIs and SDK for integrating labeling into ML pipelines
Deployment and users
Encord is a commercial, cloud-based platform, with enterprise deployment options, priced through custom plans rather than a free open-source release. Its coverage of DICOM, LiDAR, and other complex or regulated data makes it a common choice for healthcare AI, autonomous systems, and enterprise teams that need security, compliance, and specialized modality support alongside their annotation tooling.
3D / Point CloudImageLiDAR / RadarVideo