Chooch AI has created many very short computer vision demo videos to make the kind of problems computer vision solves totally clear. At Chooch, we can create proof of concepts, just like these demos, very rapidly for our customers – in days, not weeks or months. While other AI companies may provide powerpoints, the computer vision platform at Chooch AI allows customers to partner with us to create true computer vision solutions.
Computer vision and artificial intelligence need a lot of data. The more volume and variety of data that you can show to your model during AI training, the more high-performance and robust the model will be when examining data in the real world that it hasn’t seen before. There’s just one issue: what if you only have a limited amount of data in the first place? That’s where data augmentation comes in.
Synthetic data can now radically accelerate the creation of AI models for computer vision. Watch this 5 minute vision to see how it works. Then, to learn more and to sign up for a demo of the Chooch AI 3D Synthetic Data Generation tool on the computer vision platform, please visit Synthetic Data Generation
Chooch AI, a leading computer vision AI platform, is named as an Edge AI Tech Innovator for 2020. The report is titled “Emerging Technologies: Tech Innovators in Edge AI” (October 2020) and is available directly from Gartner. The report identifies twelve emerging Edge AI providers.
To build accurate computer vision models, you need data—and lots of it. Now, you can generate images with synthetic data and augmented data on the Chooch AI platform, and then use these synthetic images to train and deploy computer vision models. What you’ll learn in this webinar is how to use different technologies with the same goal: deploying accurate computer vision even faster. Watch the video or read the transcript below.
Powered by artificial intelligence and machine learning, computer vision can help digitally transform your business. Today, sophisticated computer vision AI models can learn to recognize a wide variety of faces, objects, concepts, and actions, just as well as—if not even better than—humans can. But…
Analyzing big data is crucial for organizations to make smarter data-driven decisions—but not all big data is created equally. It’s important to make the distinction between structured data and unstructured data:
The reasons for AI project failure are numerous, diverse, and complex. One of the biggest causes, however, is lacking the necessary technical skills—whether from in-house data scientists and machine learning engineers, or from a strong third-party computer vision consulting partner.
The global commercial drone market is projected to reach $34.5 billion by 2026, growing at an annual rate of 32 percent. As drones have become cheaper and more widely available to consumers, the amount of drone imagery is likewise exploding. So how can you possibly hope to analyze the vast amounts of information that drones are collecting every second? The answer lies in AI and computer vision for drones. Thanks to technological advances in recent years, computer vision models can equal or even exceed human performance on image classification and object detection tasks—within just a fraction of a second.
While construction has traditionally been a low-tech industry, more and more firms are seeing the benefits of adopting artificial intelligence and computer vision solutions. But what is the ROI of construction AI exactly, and how can computer vision help construction firms cut costs and increase their productivity and profits?