Support Vector Machines in OpenCV

The Support Vector Machine algorithm is one of the most popular supervised machine learning techniques, and it comes implemented in the OpenCV library. This tutorial will introduce the necessary skills to start using Support Vector Machines in OpenCV, using a custom dataset that we will generate. We will then apply these skills for the specific …

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Open sourcing Project Guideline: A platform for computer vision accessibility technology

Posted by Dave Hawkey, Software Engineer, Google Research Two years ago we announced Project Guideline, a collaboration between Google Research and Guiding Eyes for the Blind that enabled people with visual impairments (e.g., blindness and low-vision) to walk, jog, and run independently. Using only a Google Pixel phone and headphones, Project Guideline leverages on-device machine …

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Palantir and the NHS

Today, the NHS has chosen Palantir, supported by a group of companies including Accenture, PwC, NECS and Carnall Farrar, to help deliver a Federated Data Platform (FDP). AWS and Microsoft will provide cloud platform services. The FDP will improve patient care by bringing together the information needed to plan and deliver care, and reduce the …

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Incremental Processing using Netflix Maestro and Apache Iceberg

by Jun He, Yingyi Zhang, and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset. This not only reduces the cost of compute resources but …

Your Black Friday observability checklist

Black Friday—and really, the entire Cyber Week—is a time when you want your applications running at peak performance without completely exhausting your operations teams. Observability solutions can help you achieve this goal, whether you’re a small team with a single product or a large team operating complex ecommerce applications. But not all observability solutions (or …