Introduction: In the era of rapid technological advancements, artificial intelligence (AI) has emerged as a transformative force in various industries. One area where its impact is particularly noteworthy is workplace efficiency. AI technologies have the potential to revolutionize how businesses operate, streamline processes, and optimize productivity. …

“Removing safety officer” has always been an important prerequisite for the commercialization of autonomous driving above level L4. For any autonomous driving company positioned above L4, it is an important node and a new starting point for their development. …

What is semantic segmentation? Semantic segmentation is a computer vision task that involves assigning a semantic label to every pixel in an image. It is a form of dense prediction, where the goal is to classify each and every pixel in the input image, as opposed to object detection, where the goal is to…

Automatic driving annotation can be divided into 2D boxing, cuboid, and semantic segmentation annotation. Semantic segmentation is the presentation of all pixels in the image, and the annotated objects need to be classified first. The semantic segmentation applied in autonomous driving can be subdivided into two categories, 2D panoramic semantic…

We often see various arrows on the road. These arrows are road traffic markers with a guiding function, indicating that the road ahead can only be driven according to the guiding arrows on the road surface. They mainly provide guiding information to traffic participants. …

What Is Object Detection？ Object detection is to find all the objects of interest in the image and determine their categories and positions. Normally, in an image, we can detect the object's position by returning a coordinate from the top left to the bottom right corner and the category tag. In short, object detection…

Computer vision is the branch of computer science that uses cameras or a set of cameras to process 2D visual data. This allows AI to identify cars, trucks, cyclists, pedestrians, roads, lane markers, traffic signals, buildings, and ground. All autonomous vehicles use an array of hardware sensors to recognize the…

We all know the principle of “stop at the red light, go at the green light” since we were little kids, how to make the driverless car follow the rules as well? The key lies in the autonomous driving algorithm to recognize such objects. We need to tell the vehicle…

Empowering the Farm Industry through Video Tracking Annotation: Insights into Animal Health, Behavior, and Welfare Video tracking annotation involves using computer vision technology to analyze and annotate video footage of farm animals and their behavior. By accurately tracking and identifying individual animals, farmers can gain insights into their health, behavior, and overall well-being. One of the main benefits of video tracking annotation in the farm…