Model training is the #1 most requested feature from our users, so we are very happy to introduce the Model Training Toolkit, which integrates seamlessly with the alwaysAI workflow. Get started today in three easy steps: 1) Collect Data, 2) Annotate Data, 3) Train your model.
Train your own AI models and deploy on the Edge!
We have worked hard to build Model Training, the first step of Computer Vision Development, into our platform. We have made model training easy for you. With alwaysAI you can achieve model training in just 3 easy steps!
Weekly Hacky Hour for our community of developers
In these weekly office hours held every Thursday at 2 PM PDT, we will lead an interactive discussion with our community, explore common computer vision use cases, walk-through detailed set up instructions, and many other topics relating to computer vision and the alwaysAI platform.
alwaysAI announces exciting new features!
alwaysAI is proud to serve its community of over 9000 developers, helping them build CV apps easily and affordably. Innovation is a priority which is why alwaysAI is constantly iterating and releasing new features. alwaysAI just launched the projects & teams collaboration tool, an updated blog design and announced our private beat for the next big upcoming feature - Model Training!
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Partners
NVIDIA is a leader in high-performance GPUs for IoT, servers, and desktops. alwaysAI supports the NVIDIA Jetson line of products, and is a member of NVIDIA’s Inception and Metropolis programs. NVIDIA Jetson users can find optimized models for pose estimation in the alwaysAI model catalog as well as NVIDIA-specific starter applications. alwaysAI recently presented at NVIDIA’s GTC conference.
The Jetson TX2 is part of NVIDIA’s line of embedded AI modules enabling super fast computation on the edge. The TX2 is a leg up compared to the Nano and will give you faster inferencing times in...
The Jetson Nano is a powerful compactly-packaged AI accelerator that allows you to run intensive models (such as the ones typically used for semantic segmentation and pose estimation) with shorter...
alwaysAI's first official hackathon occurred in our hometown at the University of California, San Diego's Price center, where several hundred students participated in this 2-day hybrid hardware/software event.
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Hack SC (USC)
Nearly a thousand people attended the University of Southern California's exciting annual 36-hour hackathon, sponsored and supported by alwaysAI.
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TreeHacks (Stanford)
alwaysAI proudly sponsored TreeHacks 2020. More than a thousand participants packed every floor of Stanford's Huang Engineering building during this annual 3-day event.
Join our CEO, Marty Beard, with Lead Robotics and AI Researcher at Seafloor Systems, Marcos Barrera, and Co-founder & Managing Partner at Editek, Leo Cohen, to discuss computer vision and how it is dramatically improving customer insights and competitive advantage for businesses around the world.
Join us on September 30th for this exciting virtual workshop and learn how to easily deploy a computer vision application into production using alwaysAI and OpenNCC.
In this webinar on September 17th, Eric VanBuhler, Software Engineer at alwaysAI, will walk you through how to use tools and pre-trained models from alwaysAI to quickly develop and deploy computer vision applications in Python on the NVIDIA Jetson™ platform.
Learn how to train your own AI models and deploy on the edge. Experience in data science or machine learning is not required for this webinar. Led by Todd Gleed, Product Manager at alwaysAI.
In joint conversation with the CEO of OpenCV, Satya Mallick and the CTO of alwaysAI, Steven Griset, this webinar covers the applications and mechanisms of deploying computer vision on depth cameras such as the Intel RealSense camera and the OpenCV Depth camera kit.