AI Tools
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
Guest post by Aleksandr Voron To keep OpenVINO™ Toolkit focused on optimizing and deploying inference, we no longer include OpenCV and DL Streamer in our distribution packages. But not to
Written by CHEN Zhangjie (Junior, Department of Computer Science and Engineering) Face Detection is a computer vision task in which a computer program detects the presence of human faces and
Awhile ago we told you how the Computer Vision Annotation Tool (CVAT) has been spun out on its own, thanks in large part to our friends at Intel for years
Recently we’ve told you a lot about Modelplace, the AI model marketplace, and even shown some of its features on our webinar series. Today we’re excited to share the next
Since the launch last year, the AI model marketplace at Modelplace.AI has been improving by leaps and bounds. The number of models continues to grow along with performance boosts and
Fast and accurate data annotation is crucial for the success of any AI project. For the last five years, Intel has developed one of the world’s most popular open-source annotation
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.
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
Are you looking for a fast way to run neural network inferences on Intel platforms? Then OpenVINO toolkit is exactly what you need. It provides a large number of optimizations
