AI Data Operations Specialis
During this project, I managed the end-to-end data preparation and high-precision annotation of a dataset exceeding 20,000 high resolution images, contributing to the development of robust computer vision models. My work involved the execution of over 50,000 individual annotations, utilizing a variety of techniques including bounding boxes, polygons, and semantic segmentation to define complex object boundaries with pixel-level accuracy. I was responsible for identifying and tagging critical attributes such as lighting conditions and object occlusions to ensure the model could perform reliably in diverse, real-world environments.