Amazon Rekognition gives us the chance to recognize celebrities in images and videos. For our example, I will choose the images of Antentokounmpo Brothers and we will see if the Rekognition can recognize them. You can try this image in the AWS Console. Let's see what we get: As we can see, it managed to detect Giannis and Thanasis Antentokounmpo! We can get call the API via Python and boto3 and we can get all the info from the API response which is in json format.
Today, Amazon Web Services (AWS) launched Amazon Rekognition Custom Labels, a new feature of Amazon Rekognition that enables customers to build their own machine learning (ML) based image analysis capabilities to detect unique objects and scenes, relevant to their business need. For example, customers using Amazon Rekognition to detect machine parts from images can now train a ML model with a small set of labeled images to detect "turbochargers" and "torque converters" without needing any ML expertise. Instead of having to train a model from scratch, which requires specialized machine learning expertise and millions of high-quality labeled images, customers can now use Amazon Rekognition Custom Labels to achieve state-of-the-art performance for their unique image analysis needs.
You know how old you are. You know how old your friends think you are. Heck, you even know how old Microsoft thinks you are. But at the end of the day, does anyone other than Amazon really matter? Until now, the only way for you to know how old Amazon thought you were was to look at products recommended to you.
Early last year, a man walked into a hardware store in Oregon, picked up a basket, and began placing a number of expensive items into it. At first glance, that alone would not have been enough to raise suspicion. However, before finishing the purchase process at a self-service kiosk, the man picked up his items and abruptly left the store.
Amazon Rekognition is an AWS service that makes it easy to add image analysis to your applications. The latest feature added to the API for this deep-learning-powered computer vision is Celebrity Recognition. This simple-to-use functionality detects and recognizes thousands of individuals who are famous, noteworthy, or prominent in their field. Users can harness the tool to index and search digital image libraries for celebrities based on any particular interest. One common way we have seen our customers store data about individuals is within graph databases.