Object detection with deep learning and OpenCV - PyImageSearch

A couple weeks ago we learned how to classify images using deep learning and OpenCV 3.3's deep neural network ( dnn) module. While this original blog post demonstrated how we can categorize an image into one of ImageNet's 1,000 separate class labels it could not tell us where an object resides in image. In order to obtain the bounding box (x, y)-coordinates for an object in a image we need to instead apply object detection. Object detection can not only tell us what is in an image but also where the object is as well. In the remainder of today's blog post we'll discuss how to apply object detection using deep learning and OpenCV.