Learn how image annotation works, explore different types of image annotations, and see how accurate data labeling improves computer vision model performance.
Explore how AI transforms smart city infrastructure by optimizing mobility, cutting resource waste, and supporting data-driven urban development.
Cutting-edge solutions like advanced driver assistance systems (ADAS) are designed to make driving safer and easier. These systems rely on sensors like cameras, radar, and...
Large vision models, or VLMs, are artificial intelligence (AI) models trained to understand visual information such as images, videos, and diagrams. These models learn from...
Augmented AI refers to AI systems designed to work alongside people, helping them make better decisions. These systems analyze data, pull in relevant information, and...
On June 12, Meta announced a $14.3 billion investment in Scale AI, a major data labeling company. With this deal, Meta now owns 49% of...
Autonomous vehicles rely less on mechanical control and more on intelligent systems. They use computer vision and advanced sensors to collect data, analyze their surroundings,...
As robots take on more complex tasks, their design and intelligence keep improving to meet real-world needs. Thanks to artificial intelligence (AI), robotics engineering, and...
Choosing the right dataset is one of the most important steps in building an object detection model that performs well. Just like you need a...