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Foundations of Computer Vision

Hacker News

About this Book This book covers foundational topics within computer vision, with an image processing and machine learning perspective. During the first years after 2012, some of the early ideas were forgotten due to the popularity of the new approaches, but over time many of them returned. Pitman, 2012. [2] and Isola, P.

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Pascal VOC

Dataconomy

Pascal VOC is a cornerstone in the realm of machine learning and computer vision. Pascal VOC, or the Visual Object Classes Challenge, is a dataset that has played an integral role in advancing research within the fields of computer vision and machine learning.

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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning Blog

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates 25 years of experience innovating with AI and machine learning at Amazon. To search against the database, you can use a vector search, which is performed using the k-nearest neighbors (k-NN) algorithm.

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Training AI to Detect Disease: Stand Up To Cancer’s Julian Adams

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Adams’s recognitions include the 2012 Warren Alpert Foundation Prize for his role in the discovery and development of bortezomib, an anti-cancer drug; the 2012 C. We train the AI algorithm to define that as cancer. He has also held roles at Millennium Pharmaceuticals, Boehringer Ingelheim, LeukoSite, and ProScript.

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Can AI Save Movie Theaters?

ODSC - Open Data Science

Advanced sensors capture data and provide detailed information about equipment operating conditions, while machine learning algorithms synthesize historical patterns to determine when cinematic infrastructure requiresrepairs. Some theaters rely on AI to adjust ticket prices depending on demand, time of day, and location.

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Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart

AWS Machine Learning Blog

jpg", "prompt": "Which part of Virginia is this letter sent from", "completion": "Richmond"} SageMaker JumpStart SageMaker JumpStart is a powerful feature within the SageMaker machine learning (ML) environment that provides ML practitioners a comprehensive hub of publicly available and proprietary foundation models (FMs).

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Agents as escalators: Real-time AI video monitoring with Amazon Bedrock Agents and video streams

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For example, for simple motion detection, we use a simple pixel difference, but you can refine the motion detection functionality as needed, or follow the format to implement other detection algorithms, such as object detection or scene segmentation. Daytime conditions, clear visibility. No suspicious behavior or safety concerns observed.

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