Machine Learning Intern
I built and fine-tuned YOLOv8 object detection models for drone-based vision systems, focusing on annotating images for improved machine learning accuracy. My work involved creating annotated datasets and optimizing training pipelines to enhance model precision. I collaborated on data preprocessing, model validation, and hyperparameter tuning to improve inference efficiency. • Annotated drone-captured images using bounding boxes for object detection. • Enhanced dataset quality through hands-on data labeling and augmentation. • Evaluated and refined models based on labeled image data. • Utilized GANs to generate additional labeled imagery for training.