The idea is simple: You’ll upload a relevant image to an S3 bucket, connect via CLI in your terminal, and write a Python function to process that image to generate detected labels using Amazon libraries. Tools needed: → Amazon Account → Local termina...
In today’s data-driven world, visual content is everywhere. From social media platforms to security systems, images and videos are at the heart of how we communicate and make decisions. Amazon Rekognition, a service offered by AWS (Amazon Web Service...
Rekognition Find objects, people, text, scenes in images and videos using Machine Learning Facial analysis and facial search to do user verification, people counting Create a database of “familiar faces” or compare against celebrities Use Cases: ...
Introduction Amazon Web Services is the Backbone of the internet.Boto3 lets us harness the power of AWS to use as an extension of our laptops. We can build automated reports, perform sentiment analysis, send alerts and more. Let's get started! 2. Wha...
I've taken a break from writing over the past year because life got pretty busy and I had to put my side projects on hold (My last article was actually a year ago). But now, things have settled down and I’m ready to jump back in and learn new things....
Introduction: In the ever-evolving landscape of technology, one of the most remarkable advancements is the field of computer vision. Among the pioneers in this domain, Amazon Web Services (AWS) Rekognition stands out as a powerful and versatile tool,...
Hello! This is my first blog, so I'll try to be clear and right to the point.One day I was trying to implement the face recognition service of Amazon; Rekognition. During my investigation, I encountered a little big problem. The AWS Rekognition docum...
