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Dataloop Accelerates AI and Machine Learning With Its Data Annotation Platform
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2/23/2022
Today, most business apps are AI-driven, and their functionalities result from machine learning. Machine learning involves teaching a computer model to learn and understand various things

It is a long process requiring the accurate preparation of raw data, which the machine learns through proper labels or annotations. Dataloop provides a robust data annotation platform that takes care of the entire data labeling process.

 

ISRAEL, FEBRUARY 2022- Machine learning and artificial intelligence are constantly in the news. And this is with good reason because most businesses today are going through digital transformation and many business applications are products of AI and machine learning. For example, facial recognition, voice recognition, autonomous driving, automatic language translation, traffic prediction, and product recommendation are machine learning applications. 

But what is machine learning? Machine learning is part of artificial intelligence and computer science. Machine learning models use data and algorithms to learn the way humans learn. To do that, the model has to receive plenty of accurate data. As you very well know, a computer's accuracy depends on the quality of the information it gets. 

Thus, in machine learning, it is crucial to provide accurate information, which can come from different sources and in various formats. Information that the machine model needs is not limited to text. There will be videos, pictures, sound, images, etc. However, the machine learning model cannot recognize these varied formats. 

And this is where Dataloop's data annotation platform comes in. Data annotation prepares the information for the machine learning model. Preparation includes adding the correct labels to raw data so that the machine can recognize different objects, items, images, and sounds. Dataloop accelerates the process using the combined powers of humans and machines. 

Data annotation or labeling may sound simple, but it is challenging. It needs a platform that will make the process easier and faster but can assure accuracy and efficiency. For example, in machine learning, the more accurate, high-quality data the machine receives, the more it will learn, which means that massive amounts of data need labeling.  

To deal with the issue of accuracy and efficiency, Dataloop developed its data annotation platform, a cloud-based solution with a range of tools to provide accurate, pixel-precise annotations. The annotation platform combines human-operated tools and plugins to classify images, detect, define, identify objects, and segment each item at the pixel level. With such capabilities, the data annotation platform of Dataloop helps various industry sectors, such as retail, aerial imagery and drones, robotics, autonomous vehicles, agriculture, and media and content. 

About the company: Award-winning Dataloop continues its quest for industry leadership by ensuring that its products exceed industry standards. Its data annotation platform helps accelerate the entire process of labeling data yet is mindful of maintaining accuracy and precision. In addition, the company recognizes that data annotation for machine learning needs the skills and inherent knowledge of humans and the support of machine intelligence. You can learn more about data annotation and other Dataloop services by visiting its website. 

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