computer vision
Introduction In this digital day and age, where technological advancements are at an unprecedented pace, one field that stands out is Computer Vision. This read is for aspiring individuals who
Introduction One field that has seen an extraordinary surge in growth and innovation in recent decades is Artificial Intelligence. From humanoid robots like Sophia, capable of mimicking human interactions, to
Introduction OpenCV has quietly become a cornerstone in the field of Computer Vision and image processing. This library, originally developed for academic and research purposes, is now integral to various
With applications such as object detection, segmentation, and captioning, the COCO dataset is widely understood by state-of-the-art neural networks. Its versatility and multi-purpose scene variation serve best to train a computer vision
Whether for medical imaging, autonomous driving, agriculture automation, or robotics, scaling a computer vision (CV) project is tough and takes tons of micromanaging, tracking, and analysis for the best results.
It’s been a few weeks since our last post, but things have definitely not slowed down in OpenCV AI Competition 2021! We’ve got a slew of highlights in this post,
Spoiler: They’re much better now! OpenCV RANSAC is dead. Long live the OpenCV USAC! Last year a group of researchers including myself from UBC, Google, CTU in Prague and EPFL