Medical Image Annotation for Object Detection and Classification Models
In this role as an Image Annotator, particularly on platforms such as Toloka, I was responsible for accurately labeling and categorizing visual data to support the development of computer vision models. My tasks included drawing bounding boxes around objects, segmenting images, and classifying visual elements according to predefined guidelines. I worked with diverse datasets, ensuring that annotations met strict quality standards and aligned with project-specific requirements. I consistently followed detailed instructions and adapted to different annotation tools and workflows provided on the platform. To maintain high accuracy, I performed regular quality checks, handled edge cases carefully, and incorporated feedback from review systems. This role strengthened my attention to detail, ability to work independently on large-scale datasets, and commitment to delivering precise, high-quality annotations that contribute to effective AI model training.