Deploy a Computer Vision App in a Serverless Environment
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Learn how to deploy your object detection app to a serverless environment using Docker. Build your app without worrying about servers. Join this lab to containerize and deploy your app on IBM Code Engine for easy sharing.
At a Glance
Learn how to make your object detection application available to the world by deploying to a serverless environment. Focus on building your app instead of buying, installing or configuring servers.
In this project, you’ll learn how to launch an object detection web app capable of object detection in a serverless environment. This interactive web app has already been created using Flask, a popular micro-framework for Python. The object detection web app we are building runs on a Faster R-CNN (Region based Convolutional Neural Network) algorithm that takes in an image, and outputs the same image but with boxes around the detected objects along with a confidence percentage. The focus of this lab is to learn how Docker can help us containerize our application and deploying it as a serverless app on IBM Code Engine to share with all your friends!
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