This repository documents my progress through the Introduction to Computer Vision and Image Processing course by IBM. The course covers fundamental concepts of computer vision, image processing techniques, and their applications in various industries. It also includes hands-on labs with Python, Pillow, and OpenCV for image processing, image classification, and object detection.
- Introduction to Computer Vision
- Basic Image Processing Techniques (Using Python, Pillow, and OpenCV)
- Image Classification & Object Detection
- Using Jupyter Notebooks and CV Studio
- Building and Deploying a Computer Vision Web App
- Python
- Pillow
- OpenCV
- Jupyter Notebook
- CV Studio
- Cloud Deployment
| Module | Topic | Status |
|---|---|---|
| 1 | Introduction to Computer Vision | ✅ |
| 2 | Image Processing with OpenCV and Pillow | ⏳ |
| 3 | Machine Learning Image Classification | ❌ |
| 4 | Neural Networks and Deep Learning for Image Classification | ❌ |
| 5 | Object Detection | ❌ |
| 6 | Project Case: Not Quite a Self-Driving Car - Traffic Sign Classification | ❌ |
✅ Completed | ⏳ In Progress | ❌ Not Started
I will document key takeaways, challenges, and solutions in this section as I progress through the course.
- OpenCV Documentation
- Pillow Documentation
- Complete all course modules
- Work on hands-on labs and projects
- Build and deploy a final Computer Vision Web App
Stay tuned for updates! 🚀