The dataset that you use to train your machine learning models can make or break the performance of your applications. For example, using a text dataset that contains loads of biased information can significantly decrease the accuracy of your machine learning model. This was what happened to Amazon's initial tests. They trained a machine learning … Continue reading How to Create a Dataset to Train Your Machine Learning Applications
Image annotation plays an important role in training a machine to automatically assign relevant metadata information to a digital picture. This metadata often includes captions, keywords, location markers, or any combination of these details. This process is required for creating datasets that are used to train the deep learning models of computer vision applications. Many … Continue reading What is Image Annotation in Deep Learning?