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What is Data Labelling?
Data labelling is the act of manually reviewing and placing relevant and useful labels on data. Data, in this case, can be any sort, including text, video, images, and audio. A data label, thus, is an identifying factor that describes what an item is. Data labelling has become an integral part of many work processes in businesses that use big data and artificial intelligence. Data labelling takes a series of unlabeled data items and augments each item with highly relevant labels based on categories. This makes possible the efficient extraction of useful information from a large amount of unstructured data.
The challenge for most companies dealing with large amounts of unstructured data is how to make them manageable and meaningful for decision making. This calls for expertise in the area of Computer Vision and Audio Processing technologies along with expertise in the areas of Databases, Information Lifecycle Management, Knowledge Warehouse Systems, and Data Labelling.
With the combined expertise of these, Foiwe can provide the necessary manpower that can work on your technical tools to effectively handling large data labeling tasks.
The most popular applications of this technology are for recognizing objects, faces, and action verbs in live situations.
Implementing AI technology helps businesses capitalize on decision-making and insights gathered by processing data, and Data Labelling plays a vital role in that process.
Some of our offerings that can help you manage big data efficiently and enhance AI systems
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