Machine learning engineers run into two problems with regards to labelling training data: quantity and quality. We have developed a quality feature that detects likely errors within a clients' project, using a semi-supervised learning algorithm.
Put simply, Synthetic data is information – aka data – that’s been artificially manufactured rather than having been captured via real-world events.
Last month, Encord was one of a number of global tech companies invited by Amazon Web Services (AWS) to attend the event dubbed Project Stormcloud.
We've applied quantitative finance principles to help develop a platform that enables our customers to create and manage high-quality training data for computer vision.
When it comes to building AI systems, you’ve got to take data compliance considerations into account from day one; otherwise, your project will be finished before it even begins.
We got together with Teton’s CTO Esben Thorius to learn about the role of computer vision in fall prevention and how Encord’s training data tooling has provided Teton with the flexibility needed to label and manage training data in the ways that result in the best model performance possible.
We caught up with Captur founder, Charlotte Bax, to hear more about the power of computer vision to assess the condition of remote assets, her experience using Encord, and her mission to bring applied AI to long-tail industries like operations.
Modern web browsers give you insufficient control over embedded videos. This is what we learned from solving frame synchronisation issues in web applications
CB Insights today named Encord, the platform for data-centric computer vision, on its annual AI 100 ranking, a list showcasing the 100 most promising private artificial intelligence companies in the world.
Most startup founders will agree that having a first-mover's advantage by reducing time to market is an essential part of their long-term success strategy.
We recently sat down with Dr. Hayee to hear more about his thoughts on the role of deep learning in medical diagnosis, his collaboration with Encord, and the changing landscape of medical AI.