AI Data Labeling Practice Projects (Self-Training)
I completed over 10 hours of self-directed training in AI data labeling using public datasets. My work focused on image annotation for object detection and classification, following best practice guidelines. I achieved a self-checked accuracy rate of 97% across 300+ labeled samples. • Applied bounding box and polygon annotation techniques to images • Performed image and text classification tasks as part of project exercises • Maintained high accuracy and consistency through self-review • Developed familiarity with public data labeling platforms and procedures