Computer Vision Roadmap: The AI Specialization

Specialize your expertise in AI and learn how machines see and process photos, videos and real-time

Unlock the future with Computer Vision roadmap—transform pixels into insights, and master the art of teaching machines to see and understand the visual world! Specialize your expertise in AI and learn how machines see and process photos, videos, and real-time data. Welcome to the computer vision roadmap, a comprehensive journey designed for those with a foundation in Python, EDA, machine learning, and deep learning basics.

What's Included:

1. Fundamentals of Computer Vision:
   • Introduction to computer vision and understanding images and pixels.
   • Basics of image processing with OpenCV and PIL.
   • Essential mathematical concepts for computer vision.
2. Advanced Image Processing Techniques:
   • Feature extraction and image segmentation.
   • Hands-on practice with traditional and deep learning-based methods.
3. Deep Learning for Computer Vision:
   • Detailed study of CNNs and advanced architectures like U-Net, SegNet, YOLO, and Mask R-CNN.
   • Training and deploying deep learning models for classification, detection, and segmentation tasks.
4. 3D Vision and Generative Models:
   • Explore 3D vision techniques such as stereo vision, structure from motion, and depth estimation.
   • Dive into generative models like VAEs and GANs for image generation and enhancement.
5. Practical Applications and Projects:
   • Tips for identifying real-world problems and planning impactful projects.
   • Guidance on choosing the right algorithms and overcoming common challenges like overfitting.
   • Building a strong portfolio with well-documented, diverse projects.
6. Free resources

·         Handpicked best free courses and tutorials for computer vision

 Important: Career guidance for building your own portfolio and searching for a job within the space is also included!

Prerequisites:

• Proficiency in Python programming.
• Understanding of Exploratory Data Analysis (EDA).
• Basic knowledge of machine learning concepts.
• Familiarity with the fundamentals of deep learning.

Join us on this in-depth journey and become a specialist in computer vision. Equip yourself with the skills to develop innovative solutions that can interpret and interact with the visual world, paving the way for advancements in AI across various industries.

Whether you're aiming for a career in tech, healthcare, automotive, or any other field, this course will provide the knowledge and practical experience needed to excel.

Can I learn both NLP and Computer Vision?

Yes, you can learn both Natural Language Processing (NLP) and Computer Vision. These two fields are complementary and share many underlying machine learning and deep learning techniques. Having expertise in both areas can significantly enhance your capabilities in AI and open up a broader range of applications and opportunities.

Is this a course?

No, this is not a course. It is a comprehensive roadmap guide designed to help you navigate the field of computer vision. It provides structured steps and resources to help you build your knowledge and skills in computer vision, from fundamentals to advanced topics.

Is Generative AI explained?

Yes, generative AI is explained in this roadmap. We cover key concepts and models such as Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), including their applications in image generation and enhancement.

Are there free resources?

Yes, there are free resources included in this roadmap. We recommend various datasets, libraries, and online platforms that provide valuable information and tools to help you learn and practice computer vision. Many of these resources are freely available, allowing you to build your skills without significant financial investment.