Aquafer project
Aquafer project is a frame annotation project where you view images and annotate people in all frames by creating bounding boxes covering the Whole-body or the Head of every individual across 600 frame videos.
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My abilities encompass diverse tasks, demonstrating adaptability and proficiency in handling various data types. Key highlights include: • Data Sourcing: The extraction and sourcing of critical information from documents. • Annotation Tasks: Proficiently execute video, image, and audio annotation tasks, showcasing a comprehensive understanding of multimedia annotation processes. Demonstrated expertise in adhering to annotation guidelines, ensuring the delivery of high-quality annotated data sets for machine learning applications. • Multimedia Annotation: I have applied my skills in video, image, and audio annotation, contributing to the enhancement of data sets for diverse projects. Maintaining a commitment to precision and consistency crucial for the success of machine learning and artificial intelligence applications. This experience provides me with a valuable opportunity to leverage my data sourcing and annotation skills, contributing significantly to the success of projects. I have honed my ability to handle diverse data formats, ensuring the delivery of accurate and high-quality results in a dynamic work environment.
Aquafer project is a frame annotation project where you view images and annotate people in all frames by creating bounding boxes covering the Whole-body or the Head of every individual across 600 frame videos.
Sourcing data from real files and entering them in the system.
On Remotasks, I did LiDAR (Light Detection and Ranging) 3D tasks which are projects that involve analyzing and labeling objects in 3D environments.
Diploma in Meteorology and Data analysis, Meteorology and Data analysis
Bachelor's Degree in Computer Science., Computer Science
Cashier