AWS Machine Learning Blog
Category: HAQM Rekognition
Identifying landmarks with HAQM Rekognition Custom Labels
HAQM Rekognition is a computer vision service that makes it simple to add image and video analysis to your applications using proven, highly scalable, deep learning technology that does not require machine learning (ML) expertise. With HAQM Rekognition, you can identify objects, people, text, scenes, and activities in images and videos and detect inappropriate content. […]
HAQM Rekognition Labels adds 600 new labels, including landmarks, and now detects dominant colors
HAQM Rekognition offers pre-trained and customizable computer vision capabilities to extract information and insights from images and videos. One such capability is HAQM Rekognition Labels, which detects objects, scenes, actions, and concepts in images. Customers such as Synchronoss, Shutterstock, and Nomad Media use HAQM Rekognition Labels to automatically add metadata to their content library and […]
Malware detection and classification with HAQM Rekognition
According to an article by Cybersecurity Ventures, the damage caused by Ransomware (a type of malware that can block users from accessing their data unless they pay a ransom) increased by 57 times in 2021 as compared to 2015. Furthermore, it’s predicted to cost its victims $265 billion (USD) annually by 2031. At the time […]
How Prodege saved $1.5 million in annual human review costs using low-code computer vision AI
This post was co-authored by Arun Gupta, the Director of Business Intelligence at Prodege, LLC. Prodege is a data-driven marketing and consumer insights platform comprised of consumer brands—Swagbucks, MyPoints, Tada, ySense, InboxDollars, InboxPounds, DailyRewards, PollFish, and Upromise—along with a complementary suite of business solutions for marketers and researchers. Prodege has 120 million users and has […]
“ID + Selfie” – Improving digital identity verification using AWS
The COVID-19 global pandemic has accelerated the need to verify and onboard users online across several industries, such as financial services, insurance, and healthcare. When it comes to user experience it is crucial to provide a frictionless transaction while maintaining a high standard for identity verification. The question is, how do you verify real people […]
How Synamedia uses HAQM Rekognition Video to build advanced video search capabilities for long-form video
Synamedia is a leading video technology provider addressing the needs for premium video service providers and direct-to-consumer (D2C) with a comprehensive solution portfolio. Synamedia solutions spread across several pillars such as video networks, TV platforms, advertisement and monetization, and content protection and piracy disruption. Synamedia partnered with AWS to use artificial intelligence (AI) to develop […]
Metrics for evaluating content moderation in HAQM Rekognition and other content moderation services
Content moderation is the process of screening and monitoring user-generated content online. To provide a safe environment for both users and brands, platforms must moderate content to ensure that it falls within preestablished guidelines of acceptable behavior that are specific to the platform and its audience. When a platform moderates content, acceptable user-generated content (UGC) […]
Detect population variance of endangered species using HAQM Rekognition
Our planet faces a global extinction crisis. UN Report shows a staggering number of more than a million species feared to be on the path of extinction. The most common reasons for extinction include loss of habitat, poaching, and invasive species. Several wildlife conservation foundations, research scientists, volunteers, and anti-poaching rangers have been working tirelessly […]
Tips to improve your HAQM Rekognition Custom Labels model
In this post, we discuss best practices to improve the performance of your computer vision models using HAQM Rekognition Custom Labels. Rekognition Custom Labels is a fully managed service to build custom computer vision models for image classification and object detection use cases. Rekognition Custom Labels builds off of the pre-trained models in HAQM Rekognition, which […]
Detect audio events with HAQM Rekognition
When most people think of using machine learning (ML) with audio data, the use case that usually comes to mind is transcription, also known as speech-to-text. However, there are other useful applications, including using ML to detect sounds. Using software to detect a sound is called audio event detection, and it has a number of […]