Python Deep Learning Projects

Chapter 9 – Object Detection Using OpenCV and TensorFlow

Let's think about what we accomplished in Chapter 8, Handwritten Digits Classification Using ConvNets, where we were able to train an image classifier, with a CNN, to accurately classify handwritten digits in an image. The data was less complicated than it could have been, because each image only had one handwritten digit in it, and our goal was to accurately assign a class label to the image. What would have happened if each image had multiple handwritten digits in it, or different types of objects? What if we had a video? What if we want to identify where the digits are in the image? These questions represent the challenges that real-world data embodies, and drives our data science ...