Object Detection & Classification Project – Microsoft AI Engineer Program
ImageObject Detection
Developed an AI-based object detection system for autonomous driving using YOLO and CNN. Implemented real-time object and lane detection using OpenCV and TensorFlow. Labeled and annotated image data for training and evaluating object detection models.
• Collected a dataset of driving scene images for annotation.
• Used bounding boxes and segmentation to identify vehicles, pedestrians, and lanes.
• Validated and cleaned image labels for increased model accuracy.
• Evaluated model performance against newly labeled image data.
Developed an AI-based object detection system for autonomous driving using YOLO and CNN. Implemented real-time object and lane detection using OpenCV and TensorFlow. Labeled and annotated image data for training and evaluating object detection models. • Collected a dataset of driving scene images for annotation. • Used bounding boxes and segmentation to identify vehicles, pedestrians, and lanes. • Validated and cleaned image labels for increased model accuracy. • Evaluated model performance against newly labeled image data.
2025 - 2025