Cryptomining and high-performance computing data center developer Soluna has announced two new projects in Texas with a ...

Project 9: Generative Adversarial Networks (GAN) for data augmentation (using Pix2pix model) (Level: Hard) Goal: A popular use-case for CNN models is its use for automatically generating fake ...

Before significant computer vision projects, it is paramount to take stock of the talent quotient and then build the capabilities, caliber and capacity to manage computer vision projects successfully.

If your computer vision project is confined to an organizational silo, it will underperform and lead to reductions in scope and funding. Instead, unlock synergies and economies of scale across the ...

The same technology that powers computer vision projects at Google and Facebook and Pinterest could one day tell Hingson where he left his house keys, or read the street signs at an intersection ...

Computer vision has significantly evolved over the past decade, but the challenge of having ample amounts of labeled data still persists. Data augmentation presents a valuable solution to this ...

Image Credits: Kibsi He noted that too often, computer vision projects in large enterprises fail even though they have the cameras and the talent to work on models.

VisualCortex is making video data actionable in the enterprise. As the world’s best Video Intelligence Platform, VisualCortex provides the stability and scalability to productionize computer vision ...

The ambitious computer vision projects we have seen in 2018 signify that the technology is finally catching up with the applications that developers have long yearned to create. It also means that ...

In short, the problem tackled by computer vision research is translating the flat 2D data a computer 'sees' into a 3D real-world reality that it can recognise and understand.