How To Choose The Right Computer Vision Project

How To Choose The Right Computer Vision Project

Intro Find a project with an ROI Make sure it’s a quick win Make sure your project is technically feasible Make sure it’s specific to your industry Acquire images to analyze Use a cloud-based computer vision platform Scale to other use cases Intro Computer vision(CV)...
Integrate Deep Learning Into Your Solutions

Integrate Deep Learning Into Your Solutions

Key factors that you should consider when deploying deep learning in your solutions For decades, industrial automation and machine vision (MV) have helped manufacturers improve process control and product quality. Both technologies aim to remove human error and...
Key Tips When Comparing Deep Learning Models

Key Tips When Comparing Deep Learning Models

Deep Learning model comparison presents challenges. Clean data provides a clear path forward People across industries of all types rely on computer vision systems to improve productivity, enhance efficiency, and drive revenue. By augmenting a computer vision system...
LandingLens vs. Open Source

LandingLens vs. Open Source

How Does LandingLens Stack Up? LandingLens, the cloud-based computer vision platform from LandingAI, offers novel techniques to achieve both fast and performance-oriented training out-of-box. LandingLens training offers a cutting-edge model that can play a crucial...
Start With Data When Comparing Deep Learning Platforms

Start With Data When Comparing Deep Learning Platforms

Machine learning model comparison presents challenges. Clean data provides a clear path forward.   Manufacturers around the globe and across industries of all types rely on machine vision systems to improve productivity, enhance efficiency, and drive revenue. By...