100,000 vehicle data sets in surveillance scenarios are used for smart training and driving algorithms!


On September 28, the 2021 World Intelligent Connected Vehicle Conference ended successfully. In recent years, the Internet of Vehicles has been widely used in the automobile manufacturing industry, which has promoted the development of intelligent driving technology, and the data collection and labeling industry related to intelligent driving has received continuous attention. 1. Autonomous driving … Read more

Three methods and four applications of 3D point cloud annotation


What is a 3D point cloud? 3D point cloud is a method of representing the three-dimensional world with point cloud. It can be imagined as materializing three-dimensional objects and using multiple data points to represent an object. Point cloud data is generally obtained by 3D scanning equipment such as lidar to obtain information of several … Read more

Three types and contents of autonomous driving data labeling [illustration]


What is autonomous driving data annotation? Learn how data annotation involves marking and defining objects in images or videos to enable the model to recognize and understand traffic elements. autonomous driving data annotation is the process of marking cars, people, and objects in images or videos by using bounding boxes and defining other attributes, and … Read more

Data labeling tools for machine learning


The data labeling tools you use to train and deploy machine learning models with rich data can make or break your AI project. Can your tools create high-performance models to solve? The data annotation tool ecosystem is changing rapidly as more providers offer options for an increasingly diverse set of use cases. Tool improvements are made on a monthly, … Read more

What is Semantic Annotation? Best Five labeling steps


What does semantic annotation mean What is Semantic Annotation? Semantic annotation is the process of labeling documents with related concepts. These documents are enriched with metadata: references linking content to concepts, described in a knowledge graph. This makes unstructured content easier to find, interpret and reuse. Semantic annotation or tagging is the process of attaching metadata to text … Read more

Best Artificial Intelligence Data Labeling (1): Text Labeling


Thanks to the rapid development of information technology in the new millennium and the convenience brought by big data, artificial intelligence relies on big data to quickly complete the transition from theory to practical application, and gradually enters our lives. first year. So how is the data that a large amount of artificial intelligence relies on … Read more

What is best Data Labeling for Machine Learning?

datasets for machine learning ai

What is Data Labeling ? In machine learning, the data labeling process is used to identify raw data (images, text files, videos, etc.) and add one or more meaningful labels of data to provide context so that machine learning models can learn from it. For example, tags can indicate whether a photo contains a bird or a … Read more

Best types and application scenarios of image annotation


Introduce the types of image annotation, application scenarios, and the advantages and disadvantages of various annotations. Without data analytics, companies are blind and deaf, roaming the web like deer on the highway.” — Geoffrey Moore Every data science task requires data. Specifically, clean and understandable data that is fed into the system. When it comes to images, … Read more

What is data labeling (what are the best types of data labeling)


In today’s Internet age, most companies deal with large data sets in one way or another. Data is an important tool to help companies optimize operations. Depending on the industry, the required data is also different. In many cases, data labeling is required. So, what is data labeling? What are the types of data annotation? … Read more