US-DATA
Data Annotation
Cabinet
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 work with data annotation for machine learning and computer vision tasks. In simple terms, we turn raw data into structured datasets that can be used to train AI models.
Our projects involve different types of data — images, video, text. Some tasks are straightforward, others require more complex annotation logic. We don’t rely on one-size-fits-all approaches and adjust the workflow depending on the project.
The team includes both annotators and machine learning specialists. Because of that, we treat annotation not as a separate step, but as part of the model training process. We use our own platform, define clear guidelines, and run multi-level quality checks to keep accuracy consistent.
Typical tasks we handle:
— computer vision annotation (bounding boxes, segmentation, polygons, cuboids)
— classification and tagging
— NLP and text annotation
The workflow follows a full ML pipeline — from raw data preparation to final datasets. You receive data in the required format (COCO, YOLO, CVAT, etc.), ready to be used in your machine learning models without extra processing.
Convert annotation formats and prepare datasets right in your browser
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