✅ Week 1: Foundations of Computer Vision

• Understanding Computer Vision basics
• Traditional CV vs Deep Learning CV
• The Visual Pipeline: Image → Process → Predict → Act
• Key Industry Domains: Healthcare, Surveillance, Automotive, Retail
• Interactive Real-Life System Examples & Use-Cases

✅ Week 2: Feature Extraction & Visual Tracking

• Fundamentals of visual features: Edges, Corners, Textures
• Traditional (SIFT, ORB) vs CNN-based learned features
• Core Object Tracking Methods: Optical Flow, Kalman Filter, Deep SORT
• Industry Applications: Retail Analytics, Player Tracking, Smart Transport Systems

✅ Week 3: Object Classification with Deep Learning

• Intuitive exploration of CNN-based classification
• Leveraging Transfer Learning and pre-trained models (VGG, ResNet)
• Real-world Integration of Classifiers into Systems
• Practical Applications: Industrial Quality Checks, Agricultural Disease Detection, Automated Waste Sorting

✅ Week 4: Real-Time Object Detection

• Classification vs Detection: Understanding Differences
• Bounding Box Logic and Anchor Boxes
• Deep Dive: YOLO, SSD, Faster R-CNN (Advantages & Limitations)
• Use-Cases: Smart Surveillance, Inventory Management, Crowd Monitoring

✅ Week 5: Image Segmentation & Contextual Vision

• Semantic vs Instance Segmentation explained
• Pixel-level vision with U-Net and Mask R-CNN
• Applications: Medical Imaging (Tumor Detection), Autonomous Vehicles, Virtual Try-On Solutions

✅ Week 6: 3D Vision & Spatial Understanding

• Transition from 2D Images to 3D Perception
• Monocular vs Stereo Vision Depth Estimation
• LiDAR, SLAM, and Point Cloud Visualizations
• Industry Examples: Drone Navigation, Indoor Mapping, AR/VR Integration, Warehouse Automation

✅ Week 7: Generative Vision – Text-to-Image & Text-to-Video

• Exploring Generative Models: DALL·E, Midjourney, Sora
• Prompt-to-Pixel Workflow: Embeddings, Transformers, Diffusion
• Creating Dynamic Visual Content (Text-to-Video)
• Practical Applications: Advertising, Animation, Storytelling, Fashion Prototyping

✅ Week 8: Recent Breakthroughs & Career Insights (2023–2025)

• Latest State-of-the-Art Models: YOLOv8, Segment Anything (SAM), Gaudi2, Gemini Vision
• Foundation Models Explained: CLIP, DINO, SAM, OpenSeeD, Vision Transformers (ViT)
• Multimodal Vision Integration (Vision + Language): GPT-4V, Gemini
• Real-Time Deployment Innovations: NVIDIA DeepStream, Edge Accelerators
• Emerging Industry Trends: AI Vision in Wearables, Robotics, Smart Cameras
• Career Pathways & Strategies for Staying Current