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Quantum Emulator Vehicle Damage Analysis is a Hybrid Quantum Machine Learning solution which is designed to detect damaged vehicle images.
See how it works: Demo
Vision Processing
Maintain safety and provide security in industrial settings using vision processing-based ML solutions.
Gain fast insight and new revenue opportunities
Computer vision-based solutions automate extraction, analysis, classification, and useful information from images and videos. These solutions help businesses stay secure and compliant by identifying missing components, production irregularities, and unsafe situations. Computer vision incorporated in robotics improves operational efficiencies and product quality. These solutions can help identify unlawful activities and deter crimes resulting in secure businesses and safer communities.
AWS re:Invent: Build ML-powered applications with speed
Learn how pre-built ML models offer an easy integration path for enabling ML inferences in your applications.
Build ML-powered applications with speed (MKT249-P)
Solutions
The following solutions from AWS Marketplace sellers focus on Amazon Sagemaker for model delivery.
Mphasis
Quantum Emulator Vehicle Damage Analysis is a Hybrid Quantum Machine Learning solution which is designed to detect damaged vehicle images. See how it works: Demo
Computer vision at scale with Dask and PyTorch on Amazon EC2 Spot instances
Learn how you can build and train models in the cloud with Amazon SageMaker and deploy them to AWS DeepLens.
Benefits
Build ML applications faster
Plug and play pre-trained machine learning models from third-party sellers across various use cases without sharing the data outside your environment.
Reduce time for data prep
Use pre-trained models and solutions that can help identify high-quality data from your overall data set suitable for training the ML models.
Simple feature engineering
Leverage models and solutions to identify and extract additional features from your data that can be used to train your own downstream models.
"Using the ML models from AWS Marketplace allowed us to develop the bulk of the technology in house and be more competitive with a lower price point than our competitors. GTRIIP helped us launch 12 months earlier than if we had built the templates ourselves"
—Jordan McCown, Managing Director, RealAML
“Choosing Apache MXNet’s machine learning solution was really an easy decision. Onboarding the product was equally as seamless, so that everything from procurement to deployment to testing was smooth and straightforward. We basically just flipped the switch, and it was done.”
—Michael Shishkin, CTO, SiteKick
"Deep Vision’s system that recognizes and identifies visual clues, identifies facial matches, and categorizes visual data, is empowering GEN’s users to prioritize leads and facilitate the identification of persons of interest. These AI-powered visual tools are significantly speeding up the outreach and response time, two critical components to find victims of human trafficking."
—Sherrie Caltagirone, GEN Executive Director
