In our blog, we explore a broad range of computer vision subjects—training AI/ML models, data annotation practices, outsourcing, and educational material, among others. As one of the fastest-evolving fields in artificial intelligence, computer vision allows systems to “see” and interpret images and videos in ways that resemble human vision.
Hojiakbar Barotov
Best Computer Vision Courses | Unitlab Annotate
If you’re looking to develop your skills in computer vision or pursue an entry-level position, check out our top 5 computer vision courses) for prerequisites and focus areas. We’ve also compiled a list of the top computer vision blogs organized by company, community, and individual authors. Along with hands-on tutorials, these resources cover various techniques and practices in computer vision.
Hojiakbar Barotov
Top 10 Computer Vision Blogs | Unitlab Annotate
To further enhance your learning, we’ve gathered five standout YouTube channels dedicated to computer vision. With so many channels available, it can be challenging to find those best suited to your goals. These channels strike a balance between foundational theory, real-world application, and the latest developments in the field.
Depending on your background—whether you’re a student looking for guided coding tutorials or a data scientist exploring dataset version control and ML datasets—your preferred playlists will naturally vary. Regardless, YouTube has become an invaluable resource for free computer vision education, merging theoretical instruction with practical demonstrations. Pairing these channels with other learning materials can help you master your chosen area of computer vision.
Let’s explore these channels one by one:
1. Two Minute Papers
Purpose: Updates on AI, ML, and computer vision research
If you want concise updates on cutting-edge AI and computer vision—without reading lengthy research papers—Two Minute Papers is an excellent place to begin. Similar to fireship.io, host Károly Zsolnai-Fehér distills the latest advancements into short, engaging videos.
Why Follow?
- Easy-to-understand summaries of breakthrough AI and computer vision research
- Visual explanations that clarify complex topics
- Frequent coverage of major innovations, from neural networks to generative AI
Audience: Anyone interested in quick, accessible, latest AI news.
2. Computerphile
Purpose: Theoretical & technical computer science tutorials by University of Nottingham
Managed by the University of Nottingham, Computerphile spans an array of computer science topics—AI, cryptography, and algorithms—always with a strong theoretical foundation. For those who want to link computer vision concepts to broader areas like dataset management or AI training, this channel provides a holistic understanding of how everything fits together.
Why Follow?
- Videos featuring University of Nottingham experts
- Deep dives into convolutional neural networks (CNNs), face recognition, and other vision fundamentals
- Conversational yet informative style that keeps complex subjects understandable
Audience: Students and professionals seeking a strong theoretical base.
Recommended Playlists:
3. 3Blue1Brown
Purpose: Deep mathematical understanding for AI and computer vision
Many computer vision processes rely on mathematics, statistics, and logic. Therefore, a solid understanding of mathematics is crucial for mastering computer vision. 3Blue1Brown, created by Grant Sanderson, is the de facto go-to channel for high-quality math explanations and renowned for visually intuitive explanations of complex math topics like linear algebra, probability, and calculus, which underlie neural networks and AI/ML models.
Why Follow?
- Vivid, animation-based lessons that bring abstract math concepts to life
- Essential background for mastering the core principles of computer vision
- Perfect for anyone looking to strengthen their math skills before diving into hands-on tasks like image annotation or ML datasets
Audience: Individuals seeking a thorough math foundation for computer vision.
Recommended Playlist:
4. LearnOpenCV
Purpose: Practical tutorials on computer vision, AI, and ML
LearnOpenCV is part of learnopencv.com, a platform focused on the popular OpenCV library. If you’re keen to implement computer vision techniques—such as data auto-annotation or fine-tuning computer vision models—this channel, run by Dr. Satya Mallick, offers tutorials ranging from traditional OpenCV projects to modern deep learning solutions.
Why Follow?
- Hands-on coding lessons for creating and refining computer vision models
- Covers OpenCV, TensorFlow, PyTorch, and more
- Ideal for developers interested in everything from basic image labeling tools to advanced object detection and segmentation
Audience: Anyone wanting to build real-world computer vision solutions through code.
Recommended Playlists:
5. Roboflow
Purpose: Practical computer vision tutorials tailored to the Roboflow platform
Roboflow offers a robust solution for training and deploying computer vision models. Its YouTube channel walks you through real-world tasks like data labeling, dataset management, and model deployment. Tutorials also show you how to annotate images, train models, and deploy them in a production environment, making this an excellent option for individuals seeking to build pipelines.
Why Follow?
- Step-by-step lessons for annotating datasets, training models, and more
- Emphasis on applied projects that mirror real use cases
- Great for learners or teams interested in data auto labeling, dataset version control, or other hands-on aspects of AI datasets
Audience: Anyone who needs to tackle large data annotation tasks or production-level deployments.
Recommended Playlist:
Conclusion
These five YouTube channels collectively provide a well-rounded journey into computer vision. Whether you want to grasp the fundamentals of CNNs, stay updated on the latest AI research, strengthen your math skills, learn coding tutorials, or get tips for real-world implementation, each channel caters to a distinct need. You can greatly enhance your learning journey with relevant materials and tutorials from YouTube.
- Two Minute Papers highlights notable research trends.
- Computerphile explains core concepts in a conversational style.
- 3Blue1Brown cements the math skills crucial for ML and AI.
- LearnOpenCV offers practical coding know-how for project development.
- Roboflow guides you through data workflows, from annotation to deployment.
Following these channels and applying their lessons will help you master everything from basic image labeling to building production-scale AI datasets and ML workflows. Enjoy your learning journey!
Explore More
To learn more about useful content on computer vision, explore these posts:
References
- James Gallagher. (Jan 6, 2025). Best Computer Vision YouTube Channels [2025]. Roboflow Blog: https://blog.roboflow.com/best-computer-vision-youtube-channels/
