We have created a beginner-friendly series on computer vision, covering topics such as fundamentals of computer vision, best courses to learn the field, and now computer vision blogs. By reading the first post, you gain an overview of CV; with the second, you start learning it; and with this post, you can explore a wide range of high-quality content on computer vision and AI on the internet.
Hojiakbar Barotov
What is Computer Vision Anyway | Unitlab Annotate
Computer vision does not exist in isolation; it is part of the broader AI field intersecting with machine learning, robotics, and neural networks. As such, the blogs we cover include discussions on computer vision, AI, ML, and other related domains.
Numerous companies, communities, and individuals maintain blogs on computer vision, making it challenging to highlight only ten. Given the abundance of high-quality blogs and content, we have opted not to include Medium-based blogs, which often echo primary sites like Analytics Vidhya on Medium. Instead, we focus on blogs independently hosted on the internet.
We sought to showcase a diverse set of blogs, ranging from tutorials and real-world use cases to innovative products in computer vision, as well as expert opinions and insights. The blogs we selected vary in difficulty: some are general and beginner-friendly, others cater to seasoned practitioners and researchers, and a few lie somewhere in between.
Blog Categories
To provide a broad perspective on the computer vision blog landscape, we categorized blogs run by companies, communities, and individuals. Each group offers unique benefits—company blogs typically emphasize product innovation and industry applications; community blogs concentrate on education, tutorials, and open-source tools; and individual blogs provide expert insights grounded in real-world experiences.
Company blogs
Company blogs are created by businesses offering tools, platforms, or solutions for computer vision tasks—often featuring image annotation solutions, data labeling tools, or software for managing AI datasets. They frequently focus on practical applications, product updates, and real-world case studies. If you want to stay informed about third-party solutions or experiment with the latest tools, these are the blogs to follow.
Community blogs
These originate from academic or community-driven groups and place emphasis on open-source resources, academic research, and tutorials that empower the community. For those looking to enhance their technical computer vision skills, these blogs are invaluable.
Individual blogs
Written by researchers, practitioners, or enthusiasts, individual blogs offer expert perspectives, personal experiences, and unique viewpoints on computer vision. If you seek distinctive, thought-provoking commentary on areas such as AI, ML, CV, and their sub-fields, i.e. data labeling, these blogs deliver the content you need.
Top 10 Blogs
Because these blogs vary greatly in focus, the rankings below should be viewed as an informal list rather than a strict hierarchy. We include descriptions to help you decide which blog may best suit your needs.
Company Blogs
The following four blogs are maintained by companies, each focusing on different aspects of computer vision.
1. Unitlab Blog
Focus: Data annotation and practical computer vision tools
We begin with the blog you are currently reading: the Unitlab Blog, which specializes in image data annotation, dataset management, and data annotation services—critical components for training CV models. At Unitlab AI, we have two main priorities for our blog (this post aligns with the second one):
- Presenting our latest product innovations and updates on data labeling
- Sharing educational and practical content on computer vision
Whether you aim to refine your image annotation workflow with auto labeling tools, enhance dataset version control, or explore best practices in data annotation for AI/ML models, this blog provides what you need. Expect to see content on a variety of computer vision topics, with a strong emphasis on image labeling and annotation.
2. Roboflow Blog
Focus: Data preparation and augmentation for computer vision.
Roboflow is a platform specializing in data annotation and data labeling for computer vision, particularly focusing on data preparation, auto labeling, and augmentation. Its blog contains comprehensive tutorials on dataset creation, image labeling tools, and model deployment, often highlighting Roboflow’s products. Since the company is active in the computer vision space, it covers a wide range of topics, including real case studies, model fine-tuning, and product updates.
3. NVIDIA Blog
Focus: Real-world applications and cutting-edge GPU-powered CV research.
As the world’s largest semiconductor manufacturer, NVIDIA’s extensive blog addresses various facets of AI, semiconductors, and AI applications, including computer vision. It delivers content on the latest developments and real-life use cases, making it an excellent resource for those interested in following a reputable source on AI research and industry trends.
The blog is organized into subsections—such as driving, gaming, robotics, and healthcare—spotlighting diverse applications of computer vision and AI, as well as product announcements.
4. V7 Blog
Focus: End-to-end AI model development and annotation tools
V7 maintains a data annotation platform prioritizing trustworthy AI and enterprise-level security. Topics include the effect of GenAI and large language models on businesses, image labeling solutions, and real-world applications of computer vision. Their people-centric approach sets them apart, and this perspective comes through in their blog.
Community blogs
In contrast to company blogs, community blogs do not typically promote any single product or service. Instead, they offer tutorials, instructional guides, and insights into the latest innovations in computer vision, especially around AI/ML and open-source frameworks.
5. Learn OpenCV
Focus: Tutorials and practical guides for learning computer vision with Python and OpenCV
For anyone looking to study computer vision in Python, Learn OpenCV is a prime destination. It is closely linked with the popular OpenCV library, used for image processing and computer vision tasks. The blog even provides a structured learning track via OpenCV University.
With content spanning model development, fine-tuning, and real-world projects, it has long been a top resource. The blog caters to everyone, from advanced users needing in-depth guides to beginners wanting a comprehensive introduction.
6. Arxiv cs.CV Computer Vision Papers Feed
Focus: Latest research papers in computer vision
If you are a researcher, senior engineer, or professor in computer vision, you may be keen on discovering the newest research papers. In that case, this open-access archive may suit your interests. Note, however, that arXiv does not peer-review these submissions.
The feed offers a steady stream of cutting-edge research, serving as a key resource for academics and professionals who want to remain updated with the latest breakthroughs in computer vision.
7. PyImage Search
Focus: Practical tutorials and code implementations with Python
Python’s enduring popularity in data science, AI, and computer vision can be attributed to robust libraries like Pandas, NumPy, and OpenCV. PyImageSearch stands out as a leading blog and course platform among Python developers, providing both free and paid material. Its author is Adrian Rosebrock, PhD with several books on computer vision.
Its step-by-step tutorials guide you through building computer vision applications from the ground up, helping you master concepts in AI, ML, and neural networks
8. Analytics Vidhya
Focus: Tutorials and industry insights on AI
Analytics Vidhya is a well-known website with free and premium resources, tutorials, and courses focusing heavily on AI, including computer vision. It serves as a global community by hosting programs, events, hackathons, and even an “AI Leadership” podcast.
Whether you are starting your computer vision journey or already have experience, Analytics Vidhya can be highly beneficial. You may come for the content on AI and stay for the thriving community.
Individual Blogs
Individual blogs are generally authored by experts and enthusiasts in computer vision. Free from corporate constraints, these writers cover a broad array of topics, often offering deeper insights—for example, this post on the reality of self-driving cars.
9. Piekniewski's blog
Focus: Critical analyses and opinions on AI and computer vision
Filip Piękniewski, an AI researcher, curates this blog to share his insights and critiques on trends in AI and computer vision. Notable for its in-depth examinations of present-day AI hype, it is a solid pick for those seeking more critical commentary. For instance, he writes on his website:
Until dynamics is deeply incorporated in machine learning models, they will remain “statistical machines” that “statistically work” which is not enough for a real world application such as robotics.
If rigorous, logic-driven assessments of AI trends appeal to you, this blog is well worth following. Personally, we are fond of his articles and insights.
10. CV-tricks
Focus: Tutorials and beginner-friendly content on computer vision
Managed by two independent engineers, CV-tricks resembles a community-oriented blog. It specializes in practical tutorials on AI, ML, and CV, and is especially recognized for its beginner-friendly TensorFlow 2.0 series. If you want to strengthen your computer vision fundamentals, CV-tricks is a valuable resource.
Conclusion
Computer vision is a rapidly evolving field. Regardless of your expertise level—beginner, intermediate, or advanced—you will likely find the blogs above useful for both learning and professional development. The choice of which ones to follow depends on your specific goals, background, and interests. Executives weighing potential data annotation solutions may prefer company blogs; practitioners often benefit most from community-driven content; and newcomers may gravitate toward educational platforms.
Most of these blogs also track emerging trends, so consider keeping them on your reading list to familiarize yourself with the latest technology in computer vision.
Explore More
If you’re interested in diving deeper in computer vision, consider exploring other posts:
- Best Computer Vision Courses
- Top 5 Open-Source Computer Vision Models
- 11 Factors in Choosing Image Annotation Tools
