Computer Vision Roadmap

Level 1: Basics

• Python Basics
• OOP in Python
• NumPy - Arrays & Matrix Operations
• Pandas - Data Handling
• Matplotlib - Plotting & Visualization
• Seaborn - Statistical Visualization

Level 2: Image Processing & Feature Engineering

• OpenCV - Image Processing
• Scikit-Image - Advanced Image Processing
• Pillow - Image Manipulation
• Feature Extraction (HOG, SIFT, SURF)
• Image Data Preprocessing (Normalization, Augmentation)
• EDA for Images & Visual Data

Level 3: Computer Vision Models

• CNN - Convolutional Neural Networks
• PyTorch CNN Models
• Transfer Learning (VGG, ResNet, Inception)
• Image Segmentation (U-Net, Mask R-CNN)
• Object Detection (YOLO, Faster R-CNN)
• Style Transfer & GANs
• Image Classification

Level 4: Advanced Topics & Applications

• Advanced CNN Architectures
• PyTorch Advanced CV Models
• Generative Adversarial Networks (GANs)
• Real-Time Image Classification
• Pretrained Models & Fine-Tuning
• CV Model Deployment & MLOps
• Real-World Computer Vision Projects

Computer Vision Practice Platforms

• Kaggle CV Datasets & Tutorials
• Analytics Vidhya CV Practice Problems
• Coursera Computer Vision Course
• Fast.ai CV Projects
• DataCamp CV Track

Computer Vision Study & Learning Resources

• OpenCV Tutorials
• Scikit-Image Documentation
• TensorFlow CV Tutorials
• PyTorch CV Tutorials
• Towards Data Science CV Articles

Computer Vision Interview Preparation

• InterviewBit CV Questions
• GFG CV Interview Questions
• LeetCode CV Discussions
• CV Case Studies & Projects

Computer Vision Jobs & Careers

• Naukri CV Jobs
• LinkedIn CV Jobs
• Indeed CV Jobs
• Hirist CV Jobs
• CutShort CV Opportunities

Top Companies Using Computer Vision

• Google (Autonomous Vehicles, AI CV)
• Microsoft AI & CV
• Amazon CV / AI
• Meta CV & AI Research
• Apple CV Roles
• IBM AI & CV
• Tesla CV / Autonomous Driving