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Hello, Community! This post is a summary of development on OpenCV 5 in the last week. You can always find the most up-to-date information on the OpenCV 5 Work Board.
Introduction One field that has seen a boom in recent times is Artificial Intelligence. By leveraging Artificial Intelligence tech, machines can accomplish a ton of tasks, ranging from applying snap
This post was originally published on OpenCV.AI Easier access to OpenCV for Android through Maven Central In December, we released OpenCV 4.9.0. As part of that release, we made Android
Introduction Computer vision engineering can be challenging for junior engineers as it requires a deep understanding of both foundational concepts and emerging technologies. In this article, we’ve compiled a list
Introduction Generative AI continues to make huge strides, with Stable Diffusion 3, Devin AI, and now Vlogger, courtesy of Google AI. In this read, we’ll delve into Vlogger and explore
Introduction 2024 is the year of Generative AI with the likes of Claude 3 in text generation, Devin AI with software engineering, and even taking strides in image generation with
Hello, Community! This post is a summary of development on OpenCV 5 in the last week, March 13 -March 20, 2024. You can always find the most up-to-date information on
At the heart of computer vision lies image classification, a technology that empowers computers to categorize images into distinct groups. This capability forms the foundation for countless applications that have
Introduction The current AI market is booming, especially in the Generative AI universe, with the launch of OpenAI’s ChatGPT-4 back in 2023 and Anthropic AI’s Claude 3 earlier this month.
Introduction The race to develop advanced AI tech, especially in Chatbots, is attracting a lot of players. One such instance is OpenAI’s ChatGPT. It was the talk of the town
Introduction Deep learning tools are extensively used in vision applications across most industries, ranging from facial recognition on mobile devices to Tesla’s self-driving cars. However, using the right tools is
At the heart of computer vision’s effectiveness is data annotation, a crucial process that involves labeling visual data to train machine learning models accurately. This foundational step ensures that computer