8 best resources to stay at top of computer vision

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8 best resources to stay at top of computer vision

Here is a selection of the top computer vision blogs to follow if you want to remain up to speed on the newest news, developments, and applications in

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Here is a selection of the top computer vision blogs to follow if you want to remain up to speed on the newest news, developments, and applications in computer vision. We encourage that you visit, read, follow, and subscribe to the blogs listed below.

1.  Blog Viso

Let’s start with the blog you’re currently reading. We cover the newest computer vision developments on the Viso Blog, which is one of the largest and most active Computer Vision blogs. Deep Learning, Computer Vision, Edge AI, cross-platform computing, and real-world image recognition applications are all covered in the Viso Blog.

The Viso Blog’s purpose is to consistently highlight the newest ideas that we believe will define the future of the Computer Vision industry. Viso.ai, as a computer vision platform, has built hundreds of AI vision solutions and provides hands-on insights to help others create computer vision more quickly and easily.

We propose that you look through our comprehensive and continuously updated list of popular computer vision software. Buy dissertation writing service at dissertation sky. The Viso Blog is for everyone, including novices and professionals, who are interested in cutting-edge computer vision technology and deep learning. You may subscribe to the Viso Blog to remain up to date on new articles and stories regarding specific themes.

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2, Learn about OpenCV.

The Learn OpenCV blog is aimed at anyone who wants to learn about Image Processing, Computer Vision, and Machine Learning. The blog, named after the most popular computer vision tool, offers a wealth of in-depth knowledge about computer vision principles. It includes a plethora of examples to assist machine learning newcomers.

This blog is beneficial to students, engineers, business owners, and researchers. The blog releases roughly ten entries per month, making it an up-to-date source of OpenCV-related knowledge. Some posts are technical in nature, as one would expect from the OpenCV blog, making it a useful resource for machine learning engineers.

3. The NVIDIA Blog

NVIDIA’s Blog covers a variety of subjects related to AI and Machine Learning Technology and provides virtually daily updates. The business dominates the GPU industry, with GPU deep learning being a vital component of current AI. GPUs serve as the brains of computers, robotics, and self-driving cars, allowing them to observe and analyze their surroundings.

NVIDIA AI hardware and software are always pushing the boundaries of what is achievable. As a result, the NVIDIA blog is one of the finest for Artificial Intelligence. It covers a variety of issues, including data centres, healthcare, driving, and more.

I highly recommend listening to NVIDIA’s weekly AI podcast, which has some of the world’s greatest experts in AI, deep learning, and machine learning as guests who explain how it works, how it evolves, and how AI affects our world.

4. Vidhya Analytics Blog

Analytics Vidhya is a community-based information platform for experts in Analytics and Data Science. As a result, it covers a wide spectrum of technological themes. Analytics Vidhya strives to give as many resources for studying analytics as possible, making it a popular choice for students, researchers, and professionals in data science and sub-fields such as machine learning.

Tutorials, tips & techniques, case studies, and interviews with business analytics professionals are all available on the blog. In addition, Analytics Vidhya provides paid courses and training, as well as hackathons in the form of challenges to solve real-world industrial problems.

5. Blog RSIP Vision

The RSIP Vision Blog is primarily concerned with medical imaging and computer vision. There are exciting and comprehensive medical applications of computer vision and deep learning. For example, the blog discusses various particular applications of image analysis and artificial intelligence in Urology, such as tumour evaluation using AI, robotic surgery, and visual real-time detection systems.

We strongly suggest this site to medical professionals who wish to learn about emerging AI and deep learning approaches. Non-medical specialists, on the other hand, will find the papers quite intriguing to read.

6. Blog iMerit

The iMerit Blog publishes professional papers and blog entries on machine learning, artificial intelligence, and related topics such as computer vision on a regular basis. The blog is ideal for students and professionals interested in the most recent software tools, training datasets, technological trends, and best-of lists.

7. Blog of Clearview Imaging

Clearview Imaging’s Blog has a variety of stories regarding Machine Vision, 3D Imaging, Thermal Imaging, and Sensors. The business that powers the blog creates vision systems from the ground up and offers firsthand knowledge in comprehensive blog posts and case studies.

We urge that you read the blog, especially if you’re interested in high-tech machine vision and industrial camera technology. Buy mba dissertation at dissertation sky.

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8. Paperspace Blog

Paper space Blog Paper space is a Machine Learning and cloud computing platform with its own blog, Paper space Blog. Aside from Computer Vision, the blog also discusses Deep Learning, Machine Learning, Natural Language Processing (NLP), and 3D.

The site features lessons on a variety of topics, as well as an Artificial Intelligence Wiki, which is a collection of machine learning, data science, and artificial intelligence (AI) concepts. In addition, the “ML Showcase” section has a curated array of interactive Machine Learning applications.

Conclusion

Computer vision is a branch of artificial intelligence that focuses on comprehending the content of digital pictures such as photographs and videos. Deep learning has made significant breakthroughs into difficult computer vision problems and holds the potential for additional advancements. Before delving into the application of deep learning techniques to computer vision, it may be beneficial to first get a general understanding of computer vision.

This might contain fundamental and traditional procedures, philosophy, and even basic data processing using common APIs. Getting a book on the subject is one of the finest methods to rapidly become acquainted with the subject.

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