Computer Vision

AI Computer Vision

How to Identify anomaly images using convolutional autoencoders

This video is from DigitalSreeni. Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_for_microscopists

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AI Computer Vision IoT Red Hat

Building Intelligent Factories with Edge Automation

Lindi Sabloff of Guise.AI demonstrates how to use edge AI-enabled machine vision to do quality control to automate the manufacturing process, with support from Red Hat Device Edge.

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Computer Vision Red Hat

Unlock the Potential of Object Detection with Red Hat OpenShift Data Science

Red Hat OpenShift Data Science gives data scientists and developers a powerful artificial intelligence/machine learning (AI/ML) platform for building intelligent applications. With OpenShift Data Science, data scientists and developers can rapidly develop, train, test, and iterate ML and deep learning (DL) models using their choice of certified tools in a fully supported environment—without waiting for […]

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AI Computer Vision Large Language Models

Computer Vision for Digital Scientists and Azure Video Indexer with Chat GPT Integration

First up, Alicia Moniz and Randy Price, PhD are here to demo Climate and Weather Event Monitoring with Azure Cognitive Services and in the second half of the hour, Inbal will be here to talk about Azure Video Indexer’s Power amplified with ChatGPT! Computer Vision Resources: Build a Computer Vision classifier https://www.customvision.ai/ Try out Cognitive […]

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AI Computer Vision Ethics

Maryland School District to Use AI to Detect Guns

In a novel use of computer vision, Charles County Public Schools in Maryland is adding a computer vision system to their existing security camera system. Strangely absent from this news article is a discussion on ethics, civil liberties, or what happens when the AI makes a false positive.

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Computer Vision

Next-Generation Computer Vision Capabilities with Florence

Adina Trufinescu joins Seth today to introduce Introduce Azure Cognitive Service for Vision and the next-generation Computer Vision Capabilities with Florence and walk us through some of the new features! Resources: http://aka.ms/VisionStudio https://aka.ms/CognitiveService/Vision

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Computer Vision Google

How to Train U-NET in Google Colab: A Step-by-Step Guide

Are you looking to train U-NET for semantic segmentation, background removal, or salient feature highlighting in Google Colab? This step-by-step guide from Augmented Startups will walk you through the entire process, from setting up the environment to loading and training your own dataset

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AI AWS Computer Vision

Identity Verification using Amazon Rekognition and Amazon Textract

This demo shows how an end-to-end identity verification solution can be developed using Amazon Rekognition and Amazon Textract. Source Code – https://bit.ly/3W04Xdg

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