Comprehensive Guide to Azure Cognitive Services for Image and Video Analysis

Cognitive Service for Vision AI combines both natural language with computer vision and is part of the Azure Cognitive Services suite of pre-trained AI capabilities. It can carry out a variety of vision-language tasks including automatic image classification, object detection, and image segmentation.

Azure Expert, Matt McSpirit shares how to customize the model and use these capabilities in your own apps.

• 00:00 - Introduction
• 00:48 - Project Florence
• 01:52 - Open-world recognition
• 03:19 - Dense captioning
• 04:23 - Run frame analysis
• 05:02 - Train a custom model
• 06:29 - Build custom apps
• 07:41 - Wrap up

Enhancing OCR, Image & Video Analysis with Azure Cognitive Services

Azure Cognitive Services allows developers to integrate pre-trained AI capabilities into their applications, improving the performance of Optical Character Recognition (OCR), Image, and Video Analysis. The latest Vision AI model combines vision and language to fetch visual content without metadata or location, making it easier to generate detailed image descriptions and search video content using verbal descriptions. Azure Expert, Matt McSpirit, shares insights on customizing the model and implementing it in custom applications.

Learn about Merging Vision AI with Language AI for OCR, Image & Video Analysis

Microsoft Cognitive Services Vision AI enables developers to combine natural language processing and computer vision to create powerful AI-driven applications. With Vision AI, developers can create applications that can fetch visual content from images and videos without the need for metadata or location, generate detailed descriptions of images based on the AI's knowledge of the world, and use verbal descriptions to search video content. Matt McSpirit demonstrates how to customize the model and use its features in custom applications. Developers can use Vision AI to perform tasks such as automatic image classification, object detection, and image segmentation. Matt McSpirit also shows how to use the model to run frame analysis and train custom models. By using Vision AI, developers can create powerful applications that leverage the power of natural language processing and computer vision.

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Keywords

OCR, Image Analysis, Video Analysis, Vision AI, Language AI