Custom Vision Azure AI Custom Vision is an image recognition service that lets you build, deploy, and improve your own image identifier models. An image identifier applies labels to images, according to their visual characteristics. Each label represents a classification or object. Custom Vision allows you to specify your own labels and train custom models to detect them. How Custom Vision Works The Custom Vision service leverages a machine learning algorithm to analyze images for unique features. Here’s a step-by-step overview: Image Submission: Upload sets of images with and without the desired visual characteristics. Labeling: Tag the images with custom labels during submission. Training: The algorithm trains on this data and tests its accuracy using the same images. Deployment: Once trained, the model can be tested, retrained, and deployed in your app to classify images or detect objects. Offline Use: You can also export the model for offline applications.   Getting Started with Custom Vision Step 1: Create a New Project Visit the Custom Vision portal. Click on New Project. Fill in the required fields. Note: Charges apply as per the pricing model.   Step 2: Upload Training Images Navigate to the Training Images section. Click on the Browse button to select images. Add tags to the selected images. Ensure each tag is specific and accurate.   Browse the photos to start training and upload photos.   Add Tags to uploading images.   Uplaod Arround 50+ Photos for seamless training for each Tags. Step 4: Evaluate Model Performance Once training is complete, the model’s performance metrics will be displayed: Precision: Indicates the likelihood of a correct tag prediction. Recall: Shows the percentage of correct predictions out of all possible correct tags. Average Precision (AP): Summarizes precision and recall across different thresholds. To start training: Click on Train Button on the top,   So GO to Performance page, And Click on  Select the quick training for faster results and quick outputs.   Wait Until the Training teration is completed.   Wait until the models are Developed and  Once Training complets then it will show the Charts as per below.   Step 5: Test the Trained Model Click on Quick Test. Select an image to test. Review the precision percentages to understand tag accuracy   Supported Browsers The Custom Vision portal supports the following browsers: Microsoft Edge (latest version) Google Chrome (latest version) Conclusion Azure AI Custom Vision empowers you to create tailored image recognition models with ease. By following the steps outlined in this guide, you can harness the power of AI to enhance your applications.  

In the world of software development and testing, having access to realistic and diverse data sets is crucial. That's why we are thrilled to introduce IndiGen, a powerful and versatile package designed to generate realistic Indian data with ease.   Why IndiGen? IndiGen is a comprehensive tool that caters specifically to the needs of developers and testers who require authentic Indian data for their projects. Whether you are working on unit tests, creating sample data, or validating functionality, IndiGen has got you covered. Key Features Realistic Indian Names: Generate complete names, first names, last names, middle names, prefixes, and suffixes. var fullName = India.Faker.Name.FullName(); // Example: Ramesh Babu var firstName = India.Faker.Name.First(); // Example: Amitabh var lastName = India.Faker.Name.Last(); // Example: Kapoor var middleName = India.Faker.Name.Middle(); // Example: Hrutvik var prefix = India.Faker.Name.Prefix(); // Example: Shri var suffix = India.Faker.Name.Suffix(); // Example: Bhai, Kumar   Valid Phone Numbers: Generate realistic Indian phone numbers. var phoneNumber = India.Faker.Phone.Number(); // Example: +91-9988776655, 9998887770, 079-27474747   Authentic Vehicle Number Plates: Generate vehicle number plates in Indian formats. var vehicleNumberPlate = India.Faker.VehicleNumberPlate.Number(); // Example: GJ 01 AA 7777, 24 BH 9999 AA   Valid PAN Card Numbers: Generate PAN card numbers that conform to Indian standards. var panCardNumber = India.Faker.PanCardNumber.Number(); // Example: AABBB8888A   Aadhaar Card Numbers: Generate Aadhaar card numbers. var aadhaarCardNumber = India.Faker.AadharCardNumber.Number(); // Example: 2222 4444 2222   Supported Versions IndiGen is compatible with a wide range of .NET versions, ensuring flexibility and ease of integration into your projects: .NET Framework 4.5, 4.6, 4.7, 4.8 .NET Standard 2.0, 2.1 .NET Core 3.0, 3.1 .NET 5.0, 6.0 Get Started with IndiGen Getting started with IndiGen is simple. Visit our NuGet package page and integrate it into your projects to start generating realistic Indian data today.   How to Install Installing IndiGen is straightforward. You can add it to your project using the NuGet Package Manager, .NET CLI, or by editing your project file. Using NuGet Package Manager Open your project in Visual Studio. Go to Tools > NuGet Package Manager > Manage NuGet Packages for Solution. Search for IndiGen. Select the package and click Install. Using .NET CLI Run the following command in your terminal:\ dotnet add package IndiGen Editing Your Project File Add the following line to your .csproj file: <PackageReference Include="IndiGen" Version="8.0.1" /> Replace "8.0.1" with the latest version of IndiGen.  NuGet Package: IndiGen   Contribute to IndiGen We welcome contributions from the community. If you have suggestions, improvements, or new features in mind, please open an issue or submit a pull request. Together, we can make IndiGen even better! IndiGen is here to simplify your development and testing process by providing realistic Indian data. Try it out and let us know your thoughts. Happy coding!

You may have heard infrastructure as code(IaC), But do you know what infrastructure is? Why do we need infrastructure as code? What are the benefits of infrastructure as code? Is it safe and secure?    What is Infrastructure as Code(IoC)? Infrastructure as code (IaC) means to manage and upgrade your environments as infrastructure using configuration files. Terraform provides infrastructure as code for provisioning, compliance, and management across any public cloud, private data center, and third-party service. Enables teams to write, share, manage, and automate any infrastructure using version control With automated policy enforcement for security, compliance, and operational best practices and Enable developers to provision their desired infrastructure from within their workflows. IOC has a high impact on the Business perspective by providing Increased Productivity, Reduced Risk, Reduced Cost   Why do we use Infrastructure as Code(IoC)? Terraform is a simple human-readable configuration language, to define the desired topology of infrastructure resources VCS Integration Write, version, review, and collaborate on Terraform code using your preferred version control system Workspaces Workspaces decompose monolithic infrastructure into smaller components, or "micro-infrastructures". These workspaces can be aligned to teams for role-based access control. Variables Granular variables allow easy reuse of code and enable dynamic changes to scale resources and deploy new versions. Runs Terraform uses two-phased provisioning a plan (dry run) & apply (execution). Plans can be inspected before execution to ensure expected behavior and safety. Infrastructure State The state file is a record of currently provisioned resources. State files enable a versioned history of the infrastructure and are encrypted at rest. Versions can be inspected to see incremental changes. Policy as Code Sentinel is a policy as a code framework to automate multi-cloud governance.   What are the benefits of Infrastructure as Code(IoC)? Infrastructure as Code enables Infrastructure teams to test the applications in staging environments or development environment early - likely in the development cycle Infrastructure as Code Saves You Time and Money We can have a version history like when the infrastructure is upgraded and who has done it from the code itself. Else we have to ask to check the Infrastructure admin to look into logs and which is very time-consuming. We can check it into version control and I get versioning. Now we can see an incremental history of who changed what Use Infrastructure as Code to build update and manage any cloud, infrastructure, or services Terraform makes it easy to re-use configurations for the environment for similar infrastructure, helping you avoid mistakes and save time. We can use the same configuration code for the different staging Production and development environments. Terraform supports many Providers to be built from just a simple and less line of code. Major providers are as follows AWS Azure GitHub GitLab Google Cloud Platform VMWare Docker  and  200+ more. A Simple example to create an Ec2 Instance with just a few lines of code. resource "aws_instance" "ec2_instance" {   ami = "ami-*******"   instance_type = "t2.micro"   vpc_security_group_ids = ["${aws_security_group.*****.id}"]   key_name = "${aws_key_pair.****.id}"   tags {     Name = "New-EC2-Instance"   } } But First, we have to write code for which provider we are writing our code. To do so  here is the simple basic code to assign a provider provider "aws" {   region = "us-west-2"   ## PROVIDE CREDENTIALS } Now to Create your Ec2 Instance in AWS. We have to run the commands. So terraform has Four commands to check and apply the infrastructure changes, Init Plan Apply Destroy.   1. Init $ terraform init We can understand from the name of the command that is used to initialize something. So here terraform will be initialized in our code which will create some basic backend and tfstate files in folders for internal use. 2. Plan $ terraform plan As we do compile in some code languages, it will check for the compilation errors and plan what is going to happen when we run the script to generate infrastructure code. It will show you what resources are going to be created and what will be the configuration. 3. Apply $ terraform apply It is time to run the script and check what is being generated from the scripts. So the command will execute the script and apply the changes in our infrastructure, which will generate some resources for what we have written in the code.  4. Destroy $ terraform destroy This command is used when we want to remove or destroy the resource. After some time we don't need that resource then we just run the command which will destroy the resource. And your money is saved.