Computer Vision Learning Roadmap

Kickstart your journey into Computer Vision with a carefully crafted, research-backed roadmap designed by a hands-on Computer Vision Engineer. Whether you're a student, beginner, or a software developer looking to transition into AI, this guide provides a clear and practical path to mastering image and video analysis.

This roadmap was manually created after extensive research, industry experience, and real-world project work. It’s designed not just to teach — but to help you build, apply, and stand out in the field of Computer Vision.

Here's what you'll get:

• 🔍 Core topics covering OpenCV, PyTorch, and Deep Learning foundations
• 🧠 Project ideas from beginner to advanced to apply your skills
• 🛠️ Essential tools & libraries like YOLO, Detectron2, MMDetection
• 📄 Must-read papers, curated GitHub links, and trusted tutorials
• 💼 Actionable tips to build a strong, real-world CV/ML portfolio
• ✅ Bonus: A Notion tracker template to plan and track your learning journey

Perfect for self-learners, job seekers, and AI enthusiasts ready to take their skills to the next level. Download it, follow it, and start building impactful CV projects with confidence.