AI Study Series Part 5: Computer Vision and Image Recognition

Computer Vision (CV) is the field of AI that allows machines to interpret visual information from the world—photos, videos, and even live streams. This part teaches how machines analyze images to detect faces, recognize objects, and even understand scenes.

What is Computer Vision?

Computer Vision is a branch of AI that enables machines to "see" like humans. It involves tasks like image classification, object detection, segmentation, and scene understanding.

Core Computer Vision Topics

• Image Classification
• Object Detection
• Face Recognition
• Image Segmentation
• Edge Detection and Filters
• Visual Question Answering

Learn CV from Trusted Sources

• Fast.ai Computer Vision Course: Project-based CV learning with PyTorch.
• Stanford Online: Advanced vision courses from researchers behind ImageNet.
• Coursera – Deep Learning Specialization: Includes CNNs for computer vision tasks.
• MIT OCW: Lectures on image processing, perception, and vision modeling.
• Google AI Education: Vision tutorials, APIs, and datasets.

Recommended Tools and Libraries

• RunwayML: Drag-and-drop AI for vision and media.
• Hugging Face Models: Transformers for vision tasks like image captioning.
• OpenCV: The classic computer vision library for all major platforms.
• TorchVision: Pretrained models and transforms for image tasks.

Visual Learning Resources

Explore AI in action through Vimeo, TED Talks, or Odysee. Search for terms like “AI image recognition,” “object detection demo,” or “machine vision.”

What’s Next?

In Part 6: AI Ethics and Society, we’ll explore the ethical impact of AI on jobs, privacy, bias, and social systems.