Object Detection
In a previous post we covered the concept of fully convolutional neural networks FCN in PyTorch where we showed how we could solve the classification task using the input image
1 Image Classification vs Object Detection Image Classification is a problem where we assign a class label to an input image For example given an input image of a cat
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
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
In this post we will learn how to squeeze the maximum performance out of OpenCV 8217 s Deep Neural Network DNN module using Intel 8217 s OpenVINO toolkitpost we compared
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