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CVAT
Mindrift
OneForma
SuperAnnotate
Toloka
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VideoI possess a comprehensive background in data labelling, honed through 3 years and 5 months of hands-on experience. My expertise encompasses proficient use of industry-standard annotation tools, meticulous attention to detail in data annotation tasks, and a keen understanding of data labelling methodologies. I am confident in annotating with polygons, bounding boxes, classifications, text data etc. I've effectively collaborated with multidisciplinary teams to ensure high-quality labelled datasets, crucial for machine learning model training. My track record includes successfully managing large-scale labelling projects, optimizing annotation workflows for efficiency, and maintaining strict adherence to project timelines and quality standards.
The goal of this labeling project is to develop a model for autonomous vehicles that can identify every kind of vehicle.
BSc in Engineering, Electrical and Electronics Engineering
Data Annotation
