We deliver annotation quality for expedited ADAS/AD success. At understand.ai, our approach is simple yet effective: We prioritize faster delivery times without compromising on quality. How do we achieve this? Our quality management process is multi-layered and designed to ensure that every annotation meets the highest standards. By leveraging a loop-process and real-time quality checks within our Ground Truth annotation platform, we are able to correct errors instantly and reduce batch rejections significantly. This allows us to expedite project timelines, often delivering weeks before the deadline - ensuring efficiency all along the way. Get in touch with our experts and discover the advantage of faster project delivery times, all while maintaining unparalleled quality. #understandai #experts #adas #quality
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Advanced Driver Assistance Systems (ADAS) technology powered by deep learning models is transforming the mobility and transportation industry. However, AI developers still face an uphill battle transitioning from the lab to real-world deployments. A common barrier to deployment is the inability to achieve high accuracy and real-time inference performance on edge devices. Both factors are mission-critical for ensuring the application’s usability but also the safety of the users. Every second counts. Learn how leading automotive manufacturers and ADAS providers boost their models’ performance and deploy multiple models on edge devices using Deci's AutoNAC. Link in comments! #deeplearning #computervision #adas
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Where did Sensai come from? Why is there a need for Ai in automotive? Very simple, we are car guys who wanted to sell more cars! So we teamed up with an incredible group of AI engineers 🤖 and went to work! Test after test, we wanted to make sure our tool helped us as dealers! We think we are on to something that is a game changer! Come find out what all the buzz is!! #aitechnology #automotive #dealerships #dealershiplife #asksensai
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Our CEO and Co-Founder, Daniel Langkilde, recently sat down for an insightful interview with AI‐TechPark. What really matters when managing complex datasets for ADAS / AD? Do does your team agree on what defines "a road"? It isn't as easy as it sounds. Read more about the interview here: https://hubs.la/Q02pz_sS0 #datasetmanagement
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