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"We had a project manager sampling the accuracy—our accuracy standard was around 90%, and at the end of the day, CloudFactory was able to transcribe the data in a very, very accurate fashion."
"With the help of CloudFactory, we’re being a lot more ambitious with our data sets. We have the freedom now to spend 400 hours annotating a large data set, because it isn’t taking up the time of internal resources. Before partnering with CloudFactory, there was no way one of our four data scientists was going to spend six months labeling data. It was just not possible at all."
Labelbox is the simplest platform to train and operate machine intelligence. Labelbox solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, Labelbox's main product is a platform that makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications.
Neptune.ai is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process - exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.
iMerit is working with customers to enrich and label their data and to achieve the best results from their algorithms. All the work powers advanced algorithms in machine learning, computer vision, natural language understanding, e-commerce, augmented reality, and data analytics. They work on data for transformative technologies such as advancing cancer cell research, optimizing crop yields, and training driverless cars to understand their environment.
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