Data annotation is the workhorse behind AI and ML algorithms, creating highly accurate ground truths that directly impact algorithm performance. Annotated data is critical for AI and ML models to accurately understand and detect input data. Smart devices and smart life have become an integral part of our daily lives. From self-driving cars, smart and nudge replies … Read more
Data annotation for autonomous vehicles There Driving are multiple image annotation types such as polygons, bounding boxes, 3D cuboids, semantic segmentation, lines, and splines that can be incorporated into autonomous vehicles. The main goal of data annotation in automobiles is to classify and segment objects in images or videos. We’ve seen a lot of buzz about … Read more
In recent years, data labeling with the rapid development of artificial intelligence, intelligent driving , as an important part of strategic emerging industries, has attracted more and more attention. Intelligent driving technology refers to the technology that relies on machines to drive and completely replaces people in special cases. It mainly includes three links: network navigation, … Read more
Deep learning is a subset of machine learning (ML), which is a subdiscipline of artificial intelligence (AI). Deep learning is used to perform more important tasks without being explicitly programmed. In fact, in deep learning, neural networks are used to analyze data and extract relevant patterns of information from it. And the neural network is divided into … Read more
With a series of intelligence technological breakthroughs, artificial intelligence has gradually entered the high-speed lane in the field of world science and technology. The development of artificial intelligence is inseparable from data annotation, so why does artificial intelligence need data annotation? What data labeling companies are there? Why does artificial intelligence need data annotation? Artificial intelligence … Read more
Data annotation service is a rigid demand industry that naturally arises with the development of AI. Behind the hot development of artificial intelligence, data annotation provides data fuel for its development. So, why choose data annotation services? Why choose Data Labeling Service? 1. Higher quality training data set Data labeling service providers have many experienced … Read more
In recent years, pictures machine learning techniques centered on deep learning have attracted attention. For example, self-driving cars have gradually become possible, but in the entire deep learning process, algorithms are required to recognize and learn images provided as raw data. In this process, semantic segmentation technology is applied. So, how does semantic segmentation annotate pictures? Let’s … Read more
Self-driving automatic car companies hope to collect a large amount of data, which can provide more useful references for autonomous driving. This data set has two main parts: 1. Collect data through various means such as vehicle detection, lane change, road traffic sign recognition, pedestrian and bicycle detection; 2. Data annotation through visual recognition. Challenges … Read more
The perception algorithm based on 3D point cloud data is the core technology path of some autonomous driving companies, and has created a large-scale demand for 3D point cloud data labeling. So, what is 3D point cloud annotation? What are the methods for 3D point cloud annotation? Let’s introduce it below. What is 3D point cloud annotation? The … Read more
With the continuous image development of artificial intelligence in recent years, the algorithm of its core competitiveness has attracted people’s attention and has been applied to the work of all walks of life. By strengthening the use of artificial intelligence core algorithms, it can provide more thoughtful services for people’s work and life. In this process, … Read more
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