Data labelling is an important task in Machine Learning. The quality of data we feed in the model will determine how well our model performs. Image annotation is the process of labeling images of a dataset for the machine learning model. It is used to label the features we need our model to recogniz...

Multiclass classification is a classification problem where more than two classes are present. It is a fundamental machine learning task which aims to classify each instance into one of a predefined set of classes. For instance, classifying a set of images of animals as dogs, cats or rabbits. Each s...