April 13, 2022
Computer vision encompasses a broad range of artificial intelligence subfields that aim to train computers to see and interpret their surroundings the same way humans can. […]
January 23, 2022
Image annotation is a process of classifying images and creating labels to describe objects within them. It is a crucial stepping stone in a supervised machine learning project because the quality of the initial data determines the quality of the final model. A mislabeled image could lead to the model getting trained incorrectly, consequently producing undesirable results. To develop a neural network model well, data scientists are collecting vast amounts of data that contains hundreds of images. Therefore, labeling all of them correctly is a tedious, resource-heavy and lengthy process. The more people are working on the same project annotating, the more confusing it can get. Images can get duplicated, mislabeled or not labeled at all. Therefore, having a good management system is a must. To make the image annotation process more efficient programmers have developed numerous data labeling tools that allow for quicker and more precise annotation. One of these powerful tools, called SentiSight.ai is being offered by us.
December 6, 2021
Computer vision is a subfield of artificial intelligence rapidly changing the world around us. Its main goal is to process, analyze and interpret visual data just like the human brain can.
October 11, 2021
users. This article will guide you through the labeling processes within our company, showcasing how the platform can be used to solve real-world problems.
September 1, 2021
Image labeling, also commonly known as image annotation, is one of the most important processes when working in the Artificial Intelligence field. It is the stepping […]
