Mask Detection using YOLOv5

Before implementing a project, it's best to understand a few fundamental concepts on Object Detection and how it works together. Let's start by defining Object Detection: Image classification is where an algorithm is applied to an image to predict the class of one object eg: Car. Object localization not only predicts the class of objects but also figures out the location of the object by drawing a bounding box around the object. Object detection involves both classification and localization and detects more than one object & more than one class even. A standard classification task would involve an image running through a Convnet with multiple layers in which vector features are fed into a softmax unit for example that outputs the predicted class (Object categories that the algorithm is trying to detect i.e cars, trees, pedestrians).