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DataLoop's very own annotation platform makes it possible for clients to create the datasets they need, plus it allows them to automate their system, and last but not least, it helps them validate their data in real-time. But there's so much more to what the platform can do – as DataLoop explains.
ISRAEL, 2022 – A lot is going on in artificial intelligence, and DataLoop is at the forefront of it. It's no wonder the company has made great strides in artificial intelligence and harnessing its power and potential to help many businesses. It continues to do so – particularly with data annotation.
With the data annotation platform of DataLoop, both human intelligence and machine intelligence work together to help clients reach the best accuracy (and at the fastest time to boot). Labeling is done with careful precision, and clients can create, automate, and validate with the greatest ease. Clients can generate a virtually unlimited dataset number along with the best guidelines and ontologies, and using intelligent algorithms and models; they can further reduce the time it takes to label. Alongside this, they can validate the process as they can see it in real-time and not lose sight of it with quality control.
DataLoop understands the need for quality data, and it knows that models have to be fed with data to increase their level of accuracy. It is why it knows that the collection and preparation of data don't stop. But the accumulation of this data comes with its own risk, as it needs to be accurate and efficient every time. Errors are made by humans, and machines make errors as well. But with DataLoop's platform, labeling becomes easier and more accurate. In fact, labeling can be finished in half the time. DataLoop further emphasizes, "(We) also embed a suite of data QA and feedback features into the annotation workflow, serving as a direct and real-time communication channel between data labelers and managers." With this, errors are easily seen – and they are addressed as soon as they occur.
About the company: DataLoop has served many a client in many a sector, and it has proven its merit not just in the automotive and aeronautics industry but also in fashion and retail, robotics, agriculture, and more. To learn more about DataLoop's different platforms that help clients make sense of data and help them make full use of artificial intelligence, including data annotation, visit the site.