When you start using Cognitive Services, you are always asked a bunch of questions on how to deploy them.

Then, in the portal, it becomes complicated to know exactly what you are creating or how to create them.

Here's a simplified version on how to automatically create those services. This is perfect for hackathons and exploratory coding to understand how a service works.

Please note that Cognitive Services may be missing. Pull requests are accepted. 😊

This button will create a free Custom Vision service with Prediction and Training Endpoint in the EastUS/WestUS region.

Custom Vision lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, based on their visual characteristics.

To get started, I recommend reading the docs as well as trying a tutorial.

Recommended tutorial: Tutorial: Recognize Azure service logos in camera pictures

This button will create a free Computer Vision Cognitive Services endpoint within the EastUS/WestUS region.

The cloud-based Computer Vision API provides developers with access to advanced algorithms for processing images and returning information. By uploading an image or specifying an image URL, Microsoft Computer Vision algorithms can analyze visual content in different ways based on inputs and user choices.

To get started, I recommend reading the docs as well as trying a tutorial.

Recommended Tutorial: Tutorial: Use Computer Vision to generate image metadata in Azure Storage

This button will create a free Face Cognitive Services endpoint within the EastUS/WestUS region.

The cloud-based Face service provides developers with access to advanced face algorithms. Microsoft Face algorithms enable face attribute detection and face recognition.

To get started, I recommend reading the docs as well as trying a tutorial.

Recommended Tutorial: Tutorial: Create an Android app to detect and frame faces in an image

This button will create a free Text Analytics Cognitive Services endpoint within the EastUS/WestUS region.

The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.

To get started, I recommend reading the docs as well as trying a tutorial.

Recommended Tutorial: Extract information in Excel using Text Analytics and Power Automate

This button will create a free Text Translation Cognitive Services endpoint within the EastUS/WestUS region.

Translator Text is a cloud-based machine translation service you can use to translate text in near real-time through a simple REST API call. The API uses modern neural machine translation technology and offers statistical machine translation technology. Custom Translator is an extension of the Translator Text API, which allows you to build neural translation systems. The customized translation system can be used to translate text with the Translator Text API or Microsoft Speech Services.

To get started, I recommend reading the docs as well as trying a tutorial.

Recommended Tutorial: Tutorial: Build a Flask app with Azure Cognitive Services