PELLENC
Annotated large-scale datasets for automated waste sorting systems, focusing on recyclable materials such as plastics (PET, HDPE), paper, cardboard, glass, and metals.
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With three years of experience in the data labeling industry, I have developed a specialized skill set in geospatial and aerial computer vision, working extensively with satellite and drone data. My expertise covers a wide range of classes, from infrastructure and civilian/military assets to waste management and recycling. I am not only proficient in annotation but also highly experienced in data research and Quality Assurance, ensuring that every project meets the highest standards of accuracy.
Annotated large-scale datasets for automated waste sorting systems, focusing on recyclable materials such as plastics (PET, HDPE), paper, cardboard, glass, and metals.
Specialized in identifying and labeling complex classes: urban infrastructure (buildings), civilian and tactical military vehicles, and various aircraft (fixed-wing and helicopters).
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Hasina R. hasn’t added any Work History to their OpenTrain profile yet.