Machine Learning data Contributor
Project Scope: Collected and prepared datasets for training AI/robotics models, focusing on real-world scenarios to improve accuracy and performance. Data Labeling Tasks: Annotated images/videos or sensor data using bounding boxes, segmentation, and classification. Reviewed and corrected labels to ensure consistency. Project Size: Processed over 1,000 data samples within a team, meeting assigned targets and deadlines. Quality Measures: Followed strict annotation guidelines, performed self-reviews, and maintained high accuracy with QA feedback.