Outsource video annotation services for Computer Vision Teams

Video annotation outsourcing helps teams turn raw footage into consistent training data for computer vision models. DataVLab supports startups and enterprises that need reliable labels across long sequences, challenging lighting, motion blur, occlusions, and dense scenes.

We work with diverse sources such as dashcams, CCTV, drones, retail cameras, industrial inspections, and mobile recordings. Our focus is stable label definitions and repeatable QA so your models learn motion, behavior, and context, not noise from inconsistent labeling.

We adapt the labeling scope to your model objectives and deployment environment. Common deliverables include bounding boxes, polygons, segmentation masks, keypoints, and multi object tracking with persistent IDs across frames.

We can also label actions and events (for example interactions, safety violations, or anomalies), attributes (uniforms, vehicle types, PPE), and scene metadata. Output can be provided per frame, per clip, or as temporal segments, aligned to your preferred format and class taxonomy.

Video annotation is used for object tracking, action recognition, and event detection in autonomy, security, retail analytics, and industrial operations. Typical datasets include traffic scenes, warehouses, store aisles, production lines, construction sites, and public spaces.

We handle edge cases that often break model performance, such as crowded scenes, heavy occlusion, fast motion, reflections, low light, and camera shake. If you have an evaluation set, we can keep a gold standard subset to monitor consistency over time and across annotators.

Quality in video datasets depends on consistency across frames and across annotators. We run calibration rounds to align on class definitions, then apply multi pass review and sampling strategies targeted at the hardest frames and transitions.

We track common failure modes such as ID switches, drifting boxes, inconsistent boundaries, and missed short events. Deliverables can include QA reports, audit notes, and a refined guideline document.

For sensitive footage, we follow secure transfer and access controls, and we can align on GDPR oriented workflows when data includes identifiable people or locations.