AWS Machine Learning

NOVEMBER 21, 2022

Amazon Rekognition offers pre-trained and customizable computer vision capabilities to extract information and insights from images and videos. One such capability is Amazon Rekognition Labels , which detects objects, scenes, actions, and concepts in images. New labels. Confidence Scores.

APIs 68

APIs Advertising Automotive Personalization 68

AWS Machine Learning

AUGUST 3, 2023

Amazon Rekognition is a fully managed service that can perform CV tasks like object detection, video segment detection, content moderation, and more to extract insights from data without the need of any prior ML experience. One such use case would be customer-facing mobile applications where an image upload is required.

APIs 63

APIs Scripts Engineering Technical Support 63

AWS Machine Learning

OCTOBER 6, 2022

This is to assist their customers in searching for videos based on a description of scenes that aren’t described in the metadata of the assets. With Amazon Rekognition Video , Synamedia built an AI solution that was able to perform label detection in videos and in images using standard and custom models.

APIs 66

APIs Engineering Enterprise Advertising 66

AWS Machine Learning

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

APIs 85

APIs Benchmark Government Analytics 85

AWS Machine Learning

JULY 20, 2022

As new data privacy regulations like GDPR (General Data Protection Regulation, 2017) have come into effect, customers are under increased pressure to monetize media assets while abiding by the new rules. In this post, you see how using Amazon Comprehend and Amazon Rekognition for media intelligence enables metadata extraction at scale.

Advertising 79

Advertising APIs Automotive industry standards 79

AWS Machine Learning

SEPTEMBER 6, 2022

What’s more, perhaps surprisingly, we use computer vision-based techniques to do the detection, using Amazon Rekognition. For that, we use Amazon Rekognition Custom Labels. If your images are already labeled, Amazon Rekognition training is accessible with just a few clicks.

Engineering 74

Engineering APIs Healthcare SaaS 74

AWS Machine Learning

NOVEMBER 10, 2022

Remaining on the cutting edge of customer satisfaction requires constant focus and innovation. In this post, we share how Prodege improved their customer experience by infusing AI and ML into its business. Prodege wanted to find a way to reward its customers faster after uploading their receipts.

Accountability 68

Accountability APIs Enterprise Marketing 68

AWS Machine Learning

NOVEMBER 15, 2023

We used Amazon SageMaker Studio on an ml.g5.16xlarge instance for this post. The model allows for visual prompt engineering, enabling you to provide inputs such as text, points, bounding boxes, or masks to generate labels without altering the original image. It helps chain the data sources and an LLM to produce the output.

Engineering 90

Engineering APIs Automotive Entertainment 90

AWS Machine Learning

DECEMBER 12, 2022

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to discover insights from text. We recently added Amazon Comprehend related notebooks in Amazon SageMaker JumpStart notebooks that can help you quickly get started using the Amazon Comprehend custom classifier and custom entity recognizer.

APIs 75

APIs Accountability Enterprise Metrics 75

AWS Machine Learning

JUNE 10, 2022

With services such as Amazon Transcribe , Amazon Polly , Amazon Translate , Amazon Rekognition and Amazon Textract , you can add features to your projects such as live transcription, text to speech, translation, object detection, and text extraction from images. Solution overview.

Scripts 75

Scripts APIs Accountability Engineering 75

AWS Machine Learning

OCTOBER 19, 2023

In this post, we go over how to build an effective two-stage defect detection system using Amazon Rekognition Custom Labels and compare results for this specific use case with one-stage models. The training process for a Rekognition Custom Labels model consists of several steps, as illustrated in the following diagram.

APIs 87

APIs Technology Management 87

AWS Machine Learning

JUNE 24, 2022

In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. The Amazon AppFlow Veeva connector is the first Amazon AppFlow connector supporting automatic transfer of Veeva documents.

APIs 72

APIs Healthcare SaaS Engineering 72

AWS Machine Learning

OCTOBER 13, 2022

Amazon SageMaker Pipelines is a continuous integration and continuous delivery (CI/CD) service designed for machine learning (ML) use cases. You can use it to create, automate, and manage end-to-end ML workflows. To facilitate its use, multiple templates are available that you can customize according to your needs.

Healthcare 70

Healthcare APIs Automotive Consulting 70

AWS Machine Learning

MAY 7, 2024

This post is co-written with Tim Camara, Senior Product Manager at Veritone. Growing in the media and entertainment space, Veritone solves media management, broadcast content, and ad tracking issues. Veritone is an artificial intelligence (AI) company based in Irvine, California.

APIs 87

APIs Advertising Entertainment Metrics 87

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 66

APIs Scripts Metrics Surveys 66

AWS Machine Learning

NOVEMBER 24, 2023

It can be the decisive factor that turns a potential visitor into a paying customer or sends them clicking off to a competitor’s site. This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game.

APIs 92

APIs Technology Healthcare Sales 92

AWS Machine Learning

SEPTEMBER 8, 2023

It also relies on the images in the repository being tagged correctly, which can also be automated (for a customer success story, refer to Aller Media Finds Success with KeyCore and AWS ). In this post, we demonstrate how to use Amazon Rekognition , Amazon SageMaker JumpStart , and Amazon OpenSearch Service to solve this business problem.

APIs 95

APIs Scripts Entertainment Personalization 95

AWS Machine Learning

SEPTEMBER 8, 2023

Finally, there is no labeled data available for training a supervised machine learning model. We first imported the data into Amazon Simple Storage Service (Amazon S3) using Amazon SageMaker Studio. We first imported the data into Amazon Simple Storage Service (Amazon S3) using Amazon SageMaker Studio.

Government 83

Government Metrics Analytics Technology 83

AWS Machine Learning

SEPTEMBER 23, 2022

In this post, we demonstrate a solution using Amazon Rekognition Custom Labels along with motion sensor camera traps to automate this process to recognize engendered species and study them. Amazon DynamoDB – A key-value and document database that delivers single-digit millisecond performance at any scale.

APIs 85

APIs Metrics Management Analytics 85

AWS Machine Learning

NOVEMBER 30, 2023

The previous post discussed how you can use Amazon machine learning (ML) services to help you find the best images to be placed along an article or TV synopsis without typing in keywords. In the previous post, you used Amazon Rekognition to extract metadata from an image. A key concept in semantic search is embeddings.

Scripts 93

Scripts APIs Entertainment Accountability 93

AWS Machine Learning

OCTOBER 5, 2022

You can use Amazon Rekognition Content Moderation to detect content that is inappropriate, unwanted, or offensive, to create a safer user experience, provide brand safety assurances to advertisers, and comply with local and global regulations. Get predictions on your test dataset with Amazon Rekognition.

Metrics 74

Metrics APIs Advertising Enterprise 74

AWS Machine Learning

NOVEMBER 23, 2022

The action writes the extracted data from the rule into an Amazon Timestream database. From Timestream, data is periodically extracted into shards and subsequently processed by AWS Lambda to generate spectrograms and by Amazon Rekognition to perform ECG spectrogram classification. Amazon Rekognition details.

Technology 72

Technology Healthcare APIs Management 72

AWS Machine Learning

AUGUST 15, 2023

Customers are increasingly turning to product reviews to make informed decisions in their shopping journey, whether they’re purchasing everyday items like a kitchen towel or making major purchases like buying a car. Amazon has one of the largest stores with hundreds of millions of items available.

APIs 76

APIs Advertising Engineering Feedback 76

AWS Machine Learning

MARCH 19, 2024

Real-time data is critical for applications like predictive maintenance and anomaly detection, yet developing custom ML models for each industrial use case with such time series data demands considerable time and resources from data scientists, hindering widespread adoption.

Construction 114

Construction Scripts APIs Enterprise 114

AWS Machine Learning

DECEMBER 13, 2022

In this post, we share how Chronomics used Amazon Rekognition to automatically detect the results of a COVID-19 lateral flow test. Image augmentation – Augment the labeled images to increase the number to 10,000. Building a custom computer vision model with Amazon Rekognition. Preparing the data.

APIs 66

APIs Engineering Metrics Technology 66