Last year, Google released a publicly available dataset called Open Images V4 which contains 15.4M annotated bounding boxes for over 600 object categories. It has 1.9M images and is largest among all ...
YOLOv3 is one of the most popular real-time object detectors in Computer Vision. In our previous post, we shared how to use YOLOv3 in an OpenCV application. It was very well received, and many ...
In this post, we will learn how to squeeze the maximum performance out of OpenCV's Deep Neural Network (DNN) module using Intel's OpenVINO toolkitpost, we compared the performance of OpenCV and other ...
In this post, we will compare the performance of various Deep Learning inference frameworks on a few computer vision tasks on the CPU. Surprisingly, with one exception, the OpenCV port of various ...
In a mobile environment like Android, if you choose OpenCV for production, one of your important goals is to bring down the size of the library and also make it performance ready. OpenCV is an ...
A few weeks back we published a post about Universal Sentence Encoders. We discussed how to use the encoders and their application in Semantic Similarity Analysis. In this post, we will use the ...
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