Independent Research: AI Data Labeling & Annotation (Personal orientation project focused on computer vision)
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Bounding BoxEngaged in AI data labeling and annotation work focused on computer vision tasks, applying manual labeling to support model training. Used open-source web tools to perform high-quality annotations and improve ground-truth accuracy. Continued self-study of training materials and completed onboarding/testing aligned with the annotation workflow and precision requirements.• Labeled images using bounding boxes and polygon-style annotations for object-related tasks.• Analyzed edge cases such as tiny pixel variations and occlusions to ensure labeling correctness.• Researched and reviewed the machine learning data preparation pipeline to understand how data quality impacts model performance.• Worked toward achieving the highest accuracy rate on provided entrance/onboarding assessments.