Deep Learning with R Cookbook

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In this recipe, we showcased a general approach to object localization. However, many other techniques can be leveraged for robust object localization and classification in an image with reduced computation time and cost. These techniques can be used to locate and classify multiple objects in one image. Some of these techniques are as follows:

• Regions Convolutional Neural Network (RCNN): This technique uses a selective search algorithm to generate around 2,000 regions for each input image and converts these regions into a fixed size. Each region is then fed into a CNN, which acts as a feature extractor. The extracted features are provided to an SVM, which is usually the last layer of the CNN network and is used to classify ...