Annotated data is an integral part of many machine learning and artificial intelligence applications. At the same time, it is one of the most time-consuming and labor-intensive parts of an ML project. According to McKinsey, data labeling is one of the biggest limitations for organizations implementing AI. We’ll explore what data labeling is and why it’s important. What … Read more
Data annotation helps machines understand text, video, image or audio data. One of the distinguishing features of artificial intelligence (AI) and machine learning technology is its ability to learn for every task it performs, good or bad. It’s this constant evolution process that sets AI apart from static, code-dependent software. It is this ability that makes … Read more
What is autonomous driving data annotation? 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 teaching the model to recognize traffic elements such as pedestrians, cars, traffic signs, etc., to help ML models understand and Identify objects detected … Read more
The scenarios of data labeling industry has grown a lot in the past few years. With the continuous improvement of artificial intelligence and machine learning technology, data annotation has become a key factor for the accurate operation of these technologies. In order to obtain high-quality training data, more and more enterprises and research institutions have begun … Read more
Data labeling summary (1) 1. Under supervised learning, a large amount of (labeled) data is required. 2. Reasons for data noise: Problems with data collection tools Data entry, transmission errors technical limitations 3. On the basis of the import, complete (data cleaning) and preprocessing work for missing information, inconsistent information and redundant information. 4. In … 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
With advances in artificial intelligence Audio over the past few years, people are increasingly relying on a technology called automatic speech recognition (ASR) to help with transcription. ASR technologies can easily convert human speech to text , and their market is already growing rapidly. How AI Improves Transcription Efficiency Human transcription has existed in some form for hundreds, … Read more
Data annotation is considered fundamental for handling AI applications and complex ML tasks, such as autonomous driving, stock market forecasting, and more. The main task of data labeling is to select relevant labels for each piece of data, making raw and unstructured data a source of information for machine learning and training. So, how to do … Read more
The rise data of the artificial intelligence industry has led to an increasing demand for annotation in the AI field. For example, if you want AI to accurately identify pictures, you need to manually label similar pictures in the set, so that the algorithm and the image can be judged and identified by correlation. And … Read more
What exactly does data labeling mean? Is it really just labeling data, like it literally says? Well, it’s kind of a yes and no. What is Data Labeling? Essentially, data annotation is the process of labeling material content that can be identified through computer vision or natural language processing (NLP). When we label or annotate these types … Read more
24x7offshoring is the one-stop solution for multinational organizations all over the world, with experience in over 100 mediums to large scale projects across five continents.