Image and video capture
Photos and video of objects, scenes, gestures and activities, captured to defined framing, lighting and diversity requirements.
Vision models fail on the cases public datasets miss. One6 captures new image and video data to your framing, lighting and diversity requirements, and annotates it with trained contributors, written guidelines and layered review.
Photos and video of objects, scenes, gestures and activities, captured to defined framing, lighting and diversity requirements.
New data collected for the real-world edge cases your model fails on.
Bounding boxes, polygons, image segmentation, keypoints and classification for images and video frames.
Re-labeling or auditing an existing dataset with quality problems.
We help turn your label taxonomy into clear written guidelines.
Work runs in the platform your team already uses, or tooling we propose during scoping.
A first batch with quality checks such as gold-standard items and agreement between annotators.
Delivery in regular batches with ongoing QA once the pilot meets the agreed bar.
Either. We can work inside the platform your team already uses or propose tooling during scoping. The choice is confirmed before the pilot.
Quality checks are agreed upfront and typically combine gold-standard examples, reviewer sampling and agreement between annotators. You see the results during the pilot.
Yes. Re-labeling or auditing an existing dataset with quality problems is one of the projects our annotation service supports.
Tell us what your model needs. We'll come back with questions, a proposed approach and a pilot plan.