Computer Vision Specialization

🖼️ Overview

Master computer vision from classification to generative models!

Time: 2-3 months | 150-200 hours
Prerequisites: Phases 1-8 complete
Outcome: Build production CV applications

📚 What You’ll Learn

  • Image classification (ResNet, Vision Transformers)

  • Object detection (YOLO, DETR)

  • Image embeddings (CLIP, DINO)

  • Semantic segmentation

  • Generative models (Stable Diffusion, DALL-E)

  • Multimodal AI (text + vision)

  • Video understanding

  • OCR and document AI

🗂️ Module Structure

computer-vision/
├── 00_START_HERE.ipynb
├── 01_image_classification.ipynb
├── 02_object_detection.ipynb
├── 03_clip_embeddings.ipynb
├── 04_stable_diffusion.ipynb
├── 05_multimodal_rag.ipynb
├── projects/
│   ├── visual_search/
│   ├── image_qa/
│   └── content_moderation/
└── README.md

🎯 Key Projects

  1. Visual Search Engine - Find similar images using CLIP

  2. Image Q&A System - Chat with images

  3. Content Moderation - Classify safe/unsafe images

  4. AI Art Generator - Creative tool with Stable Diffusion

Start here: 00_START_HERE.ipynb