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
Did you know annotation 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 AI/ML projects, not the fact that corrupting unstructured data poses security and compliance risks. … Read more
Everything You Need to Know About Texts Annotation Every day, we interact with different media such as text, audio, images, and video, relying on our brains to process and derive meaning from the media we see to influence our behavior. One of the most common types of media is texts, which makes up the language … Read more
Image data annotation is the process of selecting objects in an image and labeling them by name, which has a wide range of segmentation applications. Especially in the automatic driving scene, it can accurately identify pedestrians, lane lines and traffic signs in the image. So, what methods are there for image data annotation? What methods are there … Read more
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
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
The goal of NLP natural language processing is to train machines to understand or generate human language, but it is easier said than done, and NLP is also one of the most difficult problems in the field of artificial intelligence. What does NLP annotation mean? NLP is a branch of artificial intelligence that enables machines … Read more
The purpose of data annotation semantic is to tell the machine which things belong to which category or have certain attributes in supervised learning. segmentation annotation is actually a pixel-level classification, which predicts which object the target pixel belongs to. So the purpose of labeling is to tell the machine which pixels belong to which … Read more
As one of the mainstream methods of voice human-computer interaction, voice has unique advantages and charms. A seemingly short piece of voice not only contains the text content that the speaker wants to convey, but also contains the speaker’s identity, language category, speaker’s emotional state, the environment in which they speak, etc. What is Voice … Read more
Natural language text dialogue is one of the main challenges in the semantic understanding of network big data, known as the jewel in the crown of artificial intelligence, and text data annotation is the most basic and important link in this series of work. So, what is text annotation? What are the labeling methods? Let’s introduce it … Read more
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