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
Artificial intelligence data sets refer to the data sets used to process and train AI models. Currently, the most used data sets in machine learning are: 1. Face image: face detection and feature extraction (including face recognition, gender distinction, age classification, etc.). 2. Speech Artificial recognition, language processing (natural language processing and speech recognition). 3. Video … Read more
Among the many types of data labeling, image labeling is the most widely used form of labeling. For many companies that need to use image annotation for machine learning, it is very necessary to fully understand the common types of image annotation. What are the common types of image annotation? 1. Bounding box labeling Bounding box annotation usually … Read more
Data annotation is an important data processing technique, which can mark data into structured data that can be used for machine learning, thereby improving the accuracy and reliability of machine learning algorithms. Data annotation can annotate the following types: 1. Image annotation Image annotation is the process of identifying and classifying objects in images, such … Read more
Data annotation refers to the process of labeling and voice annotating features of various data such as images, text or speech. Its purpose is to provide machine learning algorithms with enough information to be able to extract useful information from the data and build useful models. Among them, speech annotation is a technology that expresses … Read more
The current mainstream machine learning method is mainly based on supervised deep learning, which has a strong dependence on labeled data. The raw data that has not been labeled is mostly unstructured data, which is difficult to be recognized by machines. Learn. Only structured data that has been labeled can be used for algorithm model training. … Read more
Data annotation is an important technique that enables computers to interpret and understand data such as images, audio, text, etc. It involves adding labels to data so that computers can understand the content of these data. These labels, which can be words, numbers or images, provide information about the data and allow computers to recognize and … Read more
What does dataset mean? dataset is a set of data used for research. It can be a raw dataset for statistical analysis, or a dataset extracted from other datasets. It is composed of a set of data structured in a certain way, it can be a table or files in a folder, or it can … Read more
What’s Next For Social Media? Advertisers live in an era of ever-changing platforms, overcrowding, and intense competition across social networks. So how do you meet all of these challenges and stay relevant to your audience? During DMEXCO 2021, we presented a masterclass to encourage advertisers of what’s coming next in the social media about style … Read more
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