Deep Learning for Object Detection

Detecting and locating objects is one of the most common uses of deep learning for computer vision. Applications include helping autonomous systems navigate complex environments, locating medical conditions like tumors, and identifying ready-to-harvest crops in agriculture. In the course projects, you will apply detection models to real-world scenarios and train a model to detect various parking signs. Completing this course will give you the skills to train detection models for your application

• Retrain popular YOLO deep learning models for your applications
• Visualize results to gain insights into model performance
• Evaluate detection models by examining both class and location accuracy.
• Analyze labeled images to identify and fix potential data shortcomings