Outlier AI
In a recent project, I was tasked with labeling a large dataset of over 50,000 medical images to train an AI model for automated diagnostic analysis. The project involved classifying images into categories based on specific medical conditions, such as identifying tumors in radiology scans. I was responsible for image segmentation, where I manually outlined critical areas, and object detection, ensuring that anomalies were correctly labeled for machine learning purposes. The project required precision and adherence to strict quality standards, including cross-referencing with medical experts to ensure the highest level of accuracy.