Microsoft AI School – Unlocking the Wonders of Vision Computing
Introduction
Enter a world where computers can see and understand the world around us just like humans do. Computer Vision, a branch of Artificial Intelligence (AI), enables AI systems to visually perceive and analyze images and videos. Microsoft Azure offers a range of Cognitive Services and tools that allow developers to incorporate AI capabilities into their applications without requiring extensive knowledge of AI algorithms. These services can extract valuable information from images and videos, addressing various computer vision challenges. To embark on a journey of mastering these concepts and creating innovative computer vision solutions on the Azure platform, MS AI School offers a comprehensive learning path. Follow this link: “Create computer vision solutions with Azure Cognitive Services” to get started.
Prerequisites
To embark on this learning path, you must have basic programming knowledge and familiarity with the Microsoft Azure platform.
This learning path consists of four modules. Let’s take a closer look at each module:
Module 1: Analyze Images
The first module focuses on analyzing images by leveraging Azure’s powerful cognitive service called Computer Vision. You will learn how to use pre-trained models to identify objects, extract descriptions, recognize known brands, and gather metadata from images. By the end of this module, you will gain the ability to provision a Computer Vision resource, analyze images using REST or SDK methods, and even create image thumbnails.
Here’s a glimpse of the topics covered in this module:
Module 2: Analyze Video
In Module 2, you will dive into the world of video analysis, a crucial aspect of AI. Microsoft Azure’s Video Analyzer for Media service will be your guide in extracting insights from video content. You will learn how to detect faces and people, recognize text, and perform scene segmentation within videos. This module will equip you with the skills to extract valuable information from videos and utilize the Video Analyzer for Media service to create custom models tailored to your specific needs.
Here’s a glimpse of the topics covered in this module:
Module 3: Classify Images
Module 3 revolves around the essential task of image classification. With Microsoft Azure’s Custom Vision service, you will learn how to categorize and analyze images. Whether it’s identifying objects in shopping baskets or recognizing license plates on vehicles, this module will guide you in building and training custom image classification models. By the end of this module, you will have the skills to harness the power of image classification for real-world applications.
Here’s a glimpse of the topics covered in this module:
Module 4: Detect Objects in Images
Module 4 explores the fascinating world of object detection. With Azure’s Custom Vision service, you will learn to locate and count occurrences of objects within images. Object detection has numerous practical applications, such as traffic analysis, surveillance, and agricultural monitoring. This module will empower you to build custom object detection models and accurately identify the presence and location of objects. Additionally, you will gain expertise in using different methods to label images effectively.
Here’s a glimpse of the topics covered in this module:
Module 5: Detect, Analyze, and Recognize Faces
The final module focuses on the captivating world of facial recognition. Azure’s Computer Vision cognitive service and Face service will be your companions in detecting faces, assessing facial traits and emotions, and identifying individuals. This module will equip you with the skills to detect faces, recognize facial features, and even train facial recognition models. Unlock the potential of facial analysis in various applications with the knowledge gained from this module.
Here’s a glimpse of the topics covered in this module:
Conclusion
Embark on an exciting journey into the realm of Computer Vision with Microsoft AI School. This learning path provides a roadmap for tackling common computer vision challenges and leveraging the powerful services offered by Microsoft Azure Cognitive Services. Even without extensive knowledge of complex AI and ML algorithms, you can create magic by unlocking the potential of vision computing. Happy coding!
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