We build high-quality datasets for computer vision, NLP and AI.
Full data preparation cycle from raw data to model-ready dataset.
Different annotation types for computer vision tasks
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We prepare data for machine learning and computer vision projects. In simple terms, we turn raw images, video, and text into well-annotated datasets that are fully ready for AI model training.
Our own platform, detailed guidelines, and multi-stage validation help us keep stable accuracy even at large volumes.
We know every project needs its own approach. Sometimes it is enough to mark objects in an image; sometimes you need carefully designed annotation logic and shared data rules. There are no universal templates here.
That is why our annotators work side by side with ML specialists, so we evaluate labeling not only as a process, but also from the perspective of model quality.
How can we help your project?
— Computer vision data annotation (bounding box, segmentation, polygons, cuboid);
— Classification and tagging;
— Text annotation and NLP tasks;
The whole workflow is built as a single ML process: from raw data preparation to delivery of a finished dataset in the most requested formats — COCO, YOLO, CVAT, and others ready for model training.
Convert annotation formats and prepare datasets right in your browser
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