Video Annotation Services

iMerit supports bounding box and object tracking, keypoint and pose annotation, action and behavior labeling, polygon and instance tracking, temporal event tagging, and multi-camera synchronization. We annotate across any frame rate, resolution, and sensor configuration, with workflows designed for your specific video taxonomy and consistency requirements.

Temporal consistency is enforced structurally, not by hoping annotators remember. QA checks run at the sequence level — not just on individual frames — to catch drift in object IDs, action boundaries, and pose consistency across the full clip. Annotators are trained on your specific video taxonomy, frame rate, occlusion handling rules, and object re-entry protocols before going live.

Yes. iMerit supports cross-view label consistency across synchronized camera arrays, multi-sensor rigs, and egocentric video setups. Instance IDs are matched across views before delivery. We annotate across RGB, RGB-D, LiDAR-camera fusion, and egocentric (wrist-mounted and head-mounted) video setups.

Yes. Surgical AI and clinical video programs include domain experts at the QA stage. Phase boundaries, instrument tracking, and anatomical landmark labeling are validated by specialists, not generalists. We are HIPAA compliant with full audit trails and strict data access controls for regulated healthcare video programs.

iMerit is purpose-built for long-form video. Our annotation infrastructure handles sequences of any length without performance degradation. We have delivered programs covering hundreds of hours of video across surgical, sports, surveillance, and robotics manipulation domains. Annotators are trained to maintain consistency standards across the full sequence, not just individual clips.

We can work in your annotation environment or run projects on Ango Hub, iMerit's purpose-built video annotation platform. Ango Hub supports frame-level annotation, temporal event tagging, multi-sensor timelines, and AI-assisted pre-labeling. Labeled data is delivered into your training pipeline via API or webhook in your preferred format.

We begin with scope and taxonomy alignment — defining your tracking rules, action taxonomy, occlusion handling, and acceptance criteria. We then set up the annotation workflow, train the team on your video-specific taxonomy, and run a structured pilot batch to calibrate temporal consistency before scaling. Most programs can begin a pilot within one to two weeks of project kick-off.

iMerit delivers video annotation across autonomous vehicles, surgical and clinical AI, robotics (egocentric video, manipulation training data), sports analytics and biomechanics, security and surveillance, agriculture (drone and UAV footage), and fitness and healthcare AI. Domain-specific annotator teams are trained before any client project begins.