AWS Machine Learning Blog

Category: Amazon Rekognition

Use computer vision to detect crop disease through image analysis with Amazon Rekognition Custom Labels

Currently, many diseases affect farming and lead to significant economic losses due to reduction of yield and loss of quality produce. In many cases, the health condition of a crop or a plant is often assessed by the condition of its leaves. For farmers, it is crucial to identify these symptoms early. Early identification is […]

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AWS ML Community showcase: March 2021 edition

In our Community Showcase, Amazon Web Services (AWS) highlights projects created by AWS Heroes and AWS Community Builders.  Each month AWS ML Heroes and AWS ML Community Builders bring to life projects and use cases for the full range of machine learning skills from beginner to expert through deep dive tutorials, podcasts, videos, and other […]

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Announcing AWS Media Intelligence Solutions

Today, we’re pleased to announce the availability of AWS Media Intelligence (AWS MI) solutions, a combination of services that empower you to easily integrate AI into your media content workflows. AWS MI allows you to analyze your media, improve content engagement rates, reduce operational costs, and increase the lifetime value of media content. With AWS […]

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AI for AgriTech: Classifying Kiwifruits using Amazon Rekognition Custom Labels

Computer vision is a field of artificial intelligence (AI) that is gaining in popularity and interest largely due to increased access to affordable cloud-based training compute, more performant algorithms, and optimizations for scalable model deployment and inference. However, despite these advances in individual AI and machine learning (ML) domains, simplifying ML pipelines into coherent and […]

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Batch image processing with Amazon Rekognition Custom Labels 

Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning (ML) expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as […]

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Amazon Rekognition Custom Labels Community Showcase

In our Community Showcase, Amazon Web Services (AWS) highlights projects created by AWS Heroes and AWS Community Builders.  We worked with AWS Machine Learning (ML) Heroes and AWS ML Community Builders to bring to life projects and use cases that detect custom objects with Amazon Rekognition Custom Labels. The AWS ML community is a vibrant […]

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Accelerating the deployment of PPE detection solution to comply with safety guidelines

Personal protective equipment (PPE) such as face covers (face mask), hand covers (gloves), and head covers (helmet) are essential for many businesses. For example, helmets are required at construction sites for employee safety, and gloves and face masks are required in the restaurant industry for hygienic operations. In the current COVID-19 pandemic environment, PPE compliance […]

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Performing anomaly detection on industrial equipment using audio signals

Industrial companies have been collecting a massive amount of time-series data about operating processes, manufacturing production lines, and industrial equipment. You might store years of data in historian systems or in your factory information system at large. Whether you’re looking to prevent equipment breakdown that would stop a production line, avoid catastrophic failures in a […]

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Saving time with personalized videos using AWS machine learning

CLIPr aspires to help save 1 billion hours of people’s time. We organize video into a first-class, searchable data source that unlocks the content most relevant to your interests using AWS machine learning (ML) services. CLIPr simplifies the extraction of information in videos, saving you hours by eliminating the need to skim through them manually […]

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We can improve the accuracy by retraining the model with more video files.

Building your own brand detection and visibility using Amazon SageMaker Ground Truth and Amazon Rekognition Custom Labels – Part 1: End-to-end solution

According to Gartner, 58% of marketing leaders believe brand is a critical driver of buyer behavior for prospects, and 65% believe it’s a critical driver of buyer behavior for existing customers. Companies spend huge amounts of money on advertisement to raise brand visibility and awareness. In fact, as per Gartner, CMO spends over 21% of […]

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