| University | Qualifi Ltd |
|---|---|
| Subject | DAI506 Introduction to Computer Vision (H/651/0610) |
DAI506 Assignment Brief
| Qualification | Level 5 Diploma in Artificial Intelligence (610/3935/4) |
|---|---|
| Unit Code | DAI506 |
| Unit Title | Introduction to Computer Vision |
| Unit Reference | H/651/0610 |
| Credits | 20 |
| TQT | 200 |
| GLH | 120 |
Assignment Aim
unit focuses on the fundamentals of computer vision principles and techniques and their applications. In addition to understanding the theoretical concepts, students will have the opportunity to use common computer vision algorithms and systems. Students will explore techniques for image processing, feature extraction and representation as well as use algorithms to detect and classify objects within a given image.
Learning Outcomes and Assignment Criteria
| Learning Outcomes
When awarded credit for this unit, a learner will: |
Assessment Criteria
Assessment of this learning outcome will require a learner to demonstrate that they can: |
| 1. Understand key concepts and principles of computer vision.
|
1.1 Define the key concepts and principles of computer vision. |
| 1.2 Explain the evolution of computer vision and its application in AI. | |
| 1.3 Apply basic image processing techniques to analyse results from enhanced visual data. | |
| 2. Be able to perform object recognition and image segmentation.
|
2.1 Use basic feature extraction and representation techniques to discover representation from raw data. |
| 2.2 Apply object detection algorithms as part of developing recognition system to classify objects in a given image. | |
| 3. Be able to apply deep learning models in computer vision.
|
3.1 Use image segmentation techniques to isolate images into specific segments. |
| 3.2 Use convolution Neural networks to classify images for the purpose of features learning. | |
| 3.3 Assess the application of deep learning models and framework within computer vision. |
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