Computer Vision Data Annotation & Model Training
Using the annotated datasets, I trained and evaluated YOLOv7 object detection models, gaining practical experience in data preprocessing, dataset splitting, model training, and performance validation. My background in Python and machine learning helped me fine-tune training parameters and improve detection accuracy. This end-to-end exposure—from annotation to model training—allows me to understand both data quality requirements and model behavior, setting me apart as someone who can bridge data labeling and AI model development effectively.