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
1. What is NLP annotation NLP (Natural Language Processing, Natural Language Processing) is equivalent to the translation between machine language and human language, and realizes the purpose of human-computer communication by building a communication bridge. From the perspective of natural language, NLP can be divided into two parts: natural language processing and natural language generation, … Read more
Delve into the concepts behind NLP, including dialogue analysis, emotion-driven behavior, text-to-speech tools, and speech recognition. Is it shocking to you that your Machine smartphone seems to accurately predict what you’re thinking when you type a text reply? Or, have you ever marveled at the way your questions were answered or the way the customer … Read more
What is Image Annotation? Image annotation is the process of labeling images from a dataset to train a machine learning model. Therefore, image annotation is used to mark the features that you need the system to recognize. Training ML models with labeled data is called supervised learning. Labeling tasks often involve manual work, sometimes with computer assistance. Machine learning engineers predetermine … Read more
The role of image data annotation Image data annotation has promoted the rapid development of computer vision. With the commercialization of various image detection and recognition algorithms, the market has become more and more strict about the accuracy of image annotation. At the same time, different image annotations have also been derived for different application … Read more
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
Did you know that almost 90% of the data an organization owns is unstructured and growing at a rate of 55-65% every year? That must be a lot of unstructured data flowing! We all know how important high-quality training data is to implementing AI/ML projects, not the fact that corrupting unstructured data poses security and compliance … Read more
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
When many people OCR hear about ocr translation, most people think it is an annotation about pictures. When my colleague was chatting with me two days ago, he said that OCR is a kind of image annotation . I asked him why, and he said it was because the image was framed. But do you actually know that … Read more
The three most important fields in Image artificial intelligence are: algorithms, computing power and data. With the continuous implementation of artificial intelligence applications, accurate data annotation has become an extremely critical factor affecting the implementation of AI. Image annotation is a kind of data annotation. Base label type. What is Image Annotation? Image annotation is a … Read more
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