Ivano-Frankivsk National Technical University of Oil and Gas
Bachelor of Software Engineering, Software Engineering
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I am a dedicated data and QA annotator with extensive experience in labeling and validating large-scale datasets for computer vision projects across diverse domains, including agribusiness, environmental monitoring, healthcare, retail, and transportation. My expertise covers a wide range of annotation techniques such as bounding boxes, polygons, semantic and instance segmentation, keypoints, OCR, and geospatial annotation, using tools like CVAT, Label Studio, and QGIS. I consistently ensure high data quality by detecting and correcting errors, providing structured feedback to annotation teams, and maintaining strict adherence to project guidelines. With a strong background in workflow optimization, data validation, and team collaboration, I am committed to delivering precise, high-quality training data that drives successful AI solutions.
Diana R. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Software Engineering, Software Engineering
QA Annotation Specialist
Data Annotation Specialist