Annotations are vital in various fields, from academia to business to healthcare. Whether it is annotating a picture, text, or dataset, annotations provide valuable insights and context that can help improve decision-making and analyses. Annotations can come in...
A data scientist uses dataset images – image datasets – integral to computer vision research and applications to train an image classification model to recognize patterns and objects in images and build algorithms that do complex tasks like object recognition and...
Autonomous mobility is one of the significant technological developments in modern times. It refers to using self-driving vehicles operating without human intervention. The potential benefits of autonomous mobility in cities range from reduced congestion and improved...
As artificial intelligence (AI) continues to transform various industries, the importance of data in driving AI success cannot be overstated. However, for AI models to achieve high accuracy and reliability, they must be able to handle data edge cases effectively. This...
Computers are growing more intelligent by the day, prompting fears that, at some point, they will replace humans. In computer vision (CV), the advancements are driven by advancements in annotating images, allowing computers to understand and identify different objects...
