Pedestrian Detection Using CNN

In this dataset, we were provided three directories, namely "Train", "Test" and "Val" i.e Validation. Here, each directory consists of three entities that store some information about that image. Hence, as we are already provided with the separate training, validation, and test data, there is no need to split this dataset anymore. So, we can directly load all the data by defining a simple loading function as described below. For this classification model, we defined a convolutional neural network model with "ReLU" as an activation function.