AIM221 — Computer Vision
AIM 221 - Computer Vision AIM 221 - Computer Vision Description: Fundamental concepts in Computer Vision (CV) and image processing, including introduction to Python libraries such as OpenCV, OpenVINO, and Keras. Focus on knowledge and skills necessary to create a computer vision application using techniques like image preprocessing, feature extraction, object detection, and deep learning models. Explores transfer learning, generative models, and ethical considerations including bias, privacy, and fairness in visual AI systems. (1, 2, 3) Apply the steps of a Computer Vision project, from data acquisition to image preprocessing and transformation. (1, 2, 3) Construct a basic convolutional neural network (CNN) model. (4, 5) Implement transfer learning using pre-trained models and evaluate their effectiveness for Computer Vision tasks. (5, 6) Demonstrate the use of Python libraries to build practical computer vision applications. (2, 3, 4, 5) Evaluate the ethical implications of generative approaches in computer vision. (4, 7, 8) Create a Computer Vision solution using OpenVINO pre-trained models to address a defined problem. (5, 6, 7) Describe the working of Edge AI and IoT and their applications across different industries. (7, 8) Discuss current and emerging trends shaping the future of Computer Vision.
Prerequisites: CSC105, CSC113