Data Labeling
Intent Classification in 2024: What it is & How it Works
Customers have more options than ever due to increasing competition and the quality of customer service has become one of the key factors for businesses to stay ahead of the competition. According to studies: AI applications in customer services such as chatbots and personalization help businesses to understand their customers better and improve customer experience.
Audio Annotation in 2024: What is it & why is it important?
In 2020, the market capitalization of AI/ML was $22.59 billion and is expected to reach $125 billion, growing at about 40% per year. Supervised and human-in-the-loop ML models make successful predictions if they have high-quality labeled/annotated data, as both models learn reality via the categorization of humans.
Top 20 Data Labeling Tools: In-depth Guide in 2024
For performing data labeling, companies need a data labeling tool. There are different data labeling tools, each with its own advantages and disadvantages. In this article, we classify them to help companies choose the most suitable one.
Text Annotation: What is it & why is it important in 2024?
ML models and their subset Natural Language Processing (NLP) offer crucial advantages to companies in various industries. They help in analyzing text data, accelerating customer responses via chatbots, recognizing human emotions thanks to sentiment analysis, etc. The success of speech-related applications depends on correctly annotated text data.
The Ultimate Guide to Data Labeling Outsourcing in 2024
Machine learning (ML) algorithms help businesses make optimal decisions. For supervised ML algorithms, businesses need labeled data, which are meaningful or informative tags added to raw data samples such as images, audio, and text. It is possible to perform data labeling activities in-house, outsourced, or crowdsourced, each of which has its own advantages and disadvantages.
Image Annotation in 2024: Definition, Importance & Techniques
Image annotation is one of the most important stages in the development of computer vision and image recognition applications, which involves recognizing, obtaining, describing, and interpreting results from digital images or videos. Computer vision is widely used in AI applications such as autonomous vehicles, medical imaging, or security.
Top 10 Open Source Data Labeling/Annotation Platforms in 2024
Data labeling/annotation identifies targeted raw data such as images, text documents, audio files, etc., that are used to train ML models to make accurate predictions about future events.
Data Annotation in 2024: Why it matters & Top 8 Best Practices
Annotated data is an integral part of various machine learning, artificial intelligence (AI) and GenAI applications. It is also one of the most time-consuming and labor-intensive parts of AI/ML projects. Data annotation is one of the top limitations of AI implementation for organizations.
Data Labeling: How to Choose a Data Labeling Partner in 2024
Since the 2010s, companies have been heavily investing in machine learning. Supervised learning is the most common form of machine learning today. Supervised learning algorithms need to be fed with labeled instances. This increases the importance of data labeling solutions.