ezML - Computer Vision for Appshttps://ezml.io/

ezML - Computer Vision for Apps

👁️‍🗨️ Level up your app's user experience with ezML - a cloud-based AI tool for seamless computer vision integration. 🌟 Effortlessly deploy image recognition, object detection, facial analysis, and more with just a few lines of code! 🚀 #AI #ComputerVision #AppDev

  • ezML is a cloud-based platform for computer vision integration in apps, offering custom CV functionality in just 3 steps.
  • It provides prebuilt layers for building CV pipelines and allows for requesting custom layers.
  • Users can swiftly incorporate their ezML pipeline into their apps using managed integration options.
  • ezML simplifies system design complexity for scalable and customizable vision systems, reducing the need for extensive code.
  • It offers budget-friendly vision system management, avoiding high costs of specialized hires.
  • The platform enhances user engagement by broadening product appeal with versatile CV integration.
  • Powered by zero-shot learning, ezML enables text-to-model computer vision capabilities without training data.
  • Models can classify images or objects through intelligent inferences about new data without explicit training.
  • By combining prebuilt models, ezML handles complex computer vision tasks with ease.
  • The platform allows for building vision models by specifying target labels, without the need for assembling training data or paying for model training.
  • Libraries enable effortless integration of ezML into applications in just 30 seconds, with real-time inference support up to 60FPS.
  • The platform ensures cost-efficiency with auto-shutdown and GPU intensive operations optimization.
  • ezML accommodates tailored functionality requests and offers scalable deployments that auto-scale according to demand.
  • An intuitive pipeline architecture defines applications with linearly executed pipes of layers for customizable computer vision functionality.
  • A streamlined license plate detection use case showcases the effectiveness of ezML's pipeline architecture.
  • Offline and transfer GPU intensive operations to ezML's optimized servers for efficient computation.