Machine learning is a type of artificial intelligence that allows software applications to become more accurate. They help the AI in predicting outcomes without being explicitly programmed to do so. AI does this by learning the labels or codes humans, or programs teach them.  Machine learning algorithms are trained...
Data labeling is the process of assigning labels to data points. This is an essential step in the machine learning process, as it helps the model to learn and make predictions. Hence data labeling services boost AI development in the world. The quality of the data labeling process can...
Image recognition is a computer vision service that allows AI and machines to identify and classify objects in images. It is a powerful tool that has a wide range of applications, including self-driving cars, facial recognition, and medical image analysis. For image recognition models to work effectively, training them...
An important tool for the smooth functioning of AI tools, image annotation is the process of labeling images with metadata that describes the content of the image. This metadata can be used to train machine learning models to perform a variety of tasks, such as image classification, object detection,...
With the guidance of vehicle-in-vehicle sensors and machine learning technology, autonomous vehicles can be driven without human presence. Autonomous vehicles are becoming increasingly in demand because of their many benefits for human use. But the one complication humans face now is that these vehicles rely on large amounts of...