Amazon Rekognition Reviews and details

Social recommendations and mentions

• Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.

  AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 1 month ago

• Amazon Rekognition Custom Labels for Bears

  I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 9 months ago

• “During a gold rush, sell shovels.” What are the shovels in the AI rush?

  For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago

• Serverless Facial Recognition Voting Application Using AWS Services

  Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / 12 months ago

• Amazon Prime Video playback features

  Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago

• The Amplify Series, Part 6: Using the power of AI and Machine Learning with Amplify Predictions

  We will run amplify push to create these resources in AWS. The AWS services used here are Amazon Rekognition for image recognition and Amazon Textract for document analysis. - Source: dev.to / about 1 year ago

• Convert and distribute your videos with AWS Elemental

  The video is sent to Rekognition to extract labels, persons, ... Not implemented for this article. - Source: dev.to / about 1 year ago

• Building an OCR service with Amazon Textract and AWS Lambda

  Don’t confuse AWS Textract with Amazon Rekognition. You can use Amazon Rekognition if there is simple random text in an image or video; for example, if you want to extract text from a signboard. - Source: dev.to / over 1 year ago

• I did a simple experiment and can confirm that Reddit is using OCR to read text in images for its search function

  They're probably just using a service like Rekognition, following the Reddit engineering posts (and being one myself) I can confidently say they don't have the level of skill necessary to do it themselves. It's pretty much a complete non-issue though, literally everyone does it. Source: over 1 year ago

• Fuufu Ijou, Koibito Miman - Episode 10 Discussion

  Looking at the AWS machine learning product offerings, there is AWS rekognition which can recognise objects or events in images for video. There are some pre-trained models but you probably want to make your own specialised model for marriage training. It will need to be very well trained on hundreds of different training cases, and a validation database. The system would need to be trained by seeing examples of... Source: over 1 year ago

• Question about video stream pipeline - University project

  May be this is a way: https://aws.amazon.com/rekognition. Source: over 1 year ago

• How to Cook a Thanksgiving Turkey According to Amazon Rekognition

  This is a tech recipe using Amazon Rekognition, a service that simplifies operational media analysis tasks by providing fully managed, purpose-built APIs powered by ML. At your peril, if you do not understand how the APIs work and how to manage confidence levels. - Source: dev.to / over 1 year ago

• Why AWS Step Functions and SDK integrations

  When you have a workflow which needs integration with AWS Rekognition, Amazon DynamoDB and the additional business logic on AWS Lambda functions, the architecture of using them in your Serverless application would be with AWS Lambda functions as seen in the below diagram. When converting to an architecture using AWS Step Functions would mean that you can leverage the workflow based sequential flow. Again you... - Source: dev.to / over 1 year ago

• Startup with a project for someone who wants to learn by doing, such as a student project, or someone self-taught looking for a side project

  We are looking at using AWS Rekognition, which supports OCR and a neural network ML service, because we have $25k in free startup credits to burn through over the next couple of years. Also this would allow us to add content moderation filters, to exclude undesirable spam such as nudity and violence, which would kill two birds with one stone. Source: over 1 year ago

• Why are all your photos group photos?!?!

  Https://aws.amazon.com/rekognition/ is one off the shelf technique that dating apps use. Source: over 1 year ago

• AWS Lambda storage options

  Storing data in S3 has an additional benefit, given how well it integrates with other AWS services. For instance, you can use Amazon Athena to query your S3 data, or Amazon Rekognition to analyze it. Additionally you can use AWS Glue to perform extract, transform, and loan (ETL) operations. To create ad hoc visualizations and business analysis reports, Amazon QuickSight can connect to your S3 buckets and produce... - Source: dev.to / over 1 year ago

• Bearcam Companion: My First Lambda

  The first thing I wanted to automate was running the object detection machine learning models on every new image. In a previous post, I described how I accomplished this using Amazon Rekognition from the UI. In my most recent post, I described how I upload images to S3 and update the Images table. Now I want to use the Images table update to trigger a Lambda to run Rekognition on the image and save the object... - Source: dev.to / over 1 year ago

• AMster & the Brit's Code Corner

  When we think of AWS services, we tend to focus on using them from code we've deployed to the cloud. However, they can equally well be used from code running locally on our machines. In this segment, we look at how I use Amazon Rekognition to support tagging images in my photography hobby, so that I can upload them to stock galleries. I'm somewhat lazy, so leaning on a service to do the basic tagging for me is an... - Source: dev.to / almost 2 years ago

• Analyzing images using the Twitter API v2 and AWS

  The Twitter API v2 lets you get Tweets with images programmatically. Many times, researchers want to study these images to better understand the conversation on a topic. An example use-case of researchers analyzing images is user's studying memes on Twitter. For this, they may want to identify objects in the image or extract text from these images (memes). In this tutorial (meant for academic researchers), I will... - Source: dev.to / almost 2 years ago

• Bearcam Companion: GitHub, User Groups and Rekognition

  In my second blog of this series, I used the Amazon Rekognition demo page to find bears in my test images. Now I want to do this programmatically from the app. This is actually a two step process:. - Source: dev.to / almost 2 years ago

• Do all Bunnings now say this

  Services like https://aws.amazon.com/rekognition/. Source: almost 2 years ago