multi-format image annotation
Create detailed annotations on images using bounding boxes, polygons, polylines, points, and semantic segmentation masks. Supports batch processing of multiple images with consistent labeling schemas.
video frame annotation
Annotate video sequences frame-by-frame or with temporal tracking to label moving objects across multiple frames. Supports interpolation between keyframes to reduce manual labeling effort.
dataset versioning and lineage tracking
Track dataset versions, annotation changes, and data lineage throughout the ML pipeline. Maintains audit trails of who annotated what and when, enabling reproducibility and compliance.
batch data import and export
Import large volumes of raw data from various sources and export annotated datasets in multiple formats. Supports integration with cloud storage and data pipelines.
annotation automation with pre-labeling
Automatically pre-label data using existing models or heuristics to reduce manual annotation effort. Annotators can then review and correct pre-labels rather than labeling from scratch.
team analytics and reporting
Generate comprehensive reports on annotation progress, team productivity, quality metrics, and project timelines. Provides dashboards for real-time monitoring of annotation workflows.
3d point cloud annotation
Label and annotate 3D point cloud data with 3D bounding boxes, cuboids, and semantic segmentation. Provides 3D visualization and rotation tools for precise spatial annotation.
collaborative annotation workflow
Enable multiple annotators to work on the same dataset simultaneously with role-based access controls, task assignment, and progress tracking. Supports annotation by different team members with centralized management.
+6 more capabilities