Computer Vision

Image classification and object detection

Author: AI Learning Club Team · Difficulty: Intermediate · Duration: 1 hr 50 min · Modules: 21

Modules

1. Introduction to Computer Vision (5 min)
2. Fundamentals of Convolutional Neural Networks (CNNs) (5 min)
3. Advanced CNN Architectures (7 min)
4. Object Detection Basics (7 min)
5. YOLO: You Only Look Once (7 min)
6. Faster R-CNN: Region-based Convolutional Neural Networks (7 min)
7. Segmentation Techniques (7 min)
8. U-Net for Biomedical Image Segmentation (7 min)
9. Mask R-CNN: Instance Segmentation (7 min)
10. Transfer Learning in Computer Vision (7 min)
11. Data Augmentation Techniques (7 min)
12. Evaluation Metrics for Computer Vision (7 min)
13. Challenges and Solutions in Real-world Applications (7 min)
14. Deep Learning Frameworks for Computer Vision (7 min)
15. Project: Building a Custom Object Detector (10 min)
16. Project: Implementing Semantic Segmentation (10 min)
17. Project: Training a Mask R-CNN Model (10 min)
18. Ethical Considerations in Computer Vision (7 min)
19. Future Trends in Computer Vision (7 min)
20. Capstone Project: Comprehensive Computer Vision Application (10 min)
21. Resources & References (7 min)

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