Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.

PersianDataAnnotations is ASP.NET Core MVC & ASP.NET MVC Custom Localization DataAnnotations (Localized MVC Errors) for Persian(Farsi) language - فارسی سازی خطاهای اعتبارسنجی توکار ام.وی.سی. و کور.ام.وی.سی. برای نمایش اعتبار سنجی سمت کلاینت

BlazorDynamicForm is a dynamic form generator.

The Data Annotations Validator Component for Blazor to localize validation error messages, based on "Microsoft.Extensions.Localization".

🟣 C# e .NET 8

Recursively validate DataAnnotations.

This repository is a fork of DevTrends WCF DataAnnotations

The easiest way to use validations with Web-Apis to .NET 6 Minimal Apis.

create a Class library project, data models with DataAnnotations validation, ApplicationContext class implementing DBContext, and implement IDesignTimeDbContextFactory to avoid the use of startup class.

This project uses physiological signals from participants and a self report data annotation to classify emotions of participants using signals obtained from a wrist-worn smart device

System.ComponentModel.Annotations.Validation is a extension of System.ComponentModel validation engine. Supports validation of properties and invariants for object graphs.

Here goes another set of libraries to help out. Separated into a few assemblies to avoid loading too much stuff in your app.

Inject your custom resource manager to your apps as the System Resource Manager to localize DataAnnotations validation error messages.

Data annotation extensions used by other CodeGator packages.

Plataforma WEB feita em ANGULAR de Agendamento e Pesquisa de Eventos ou Atividades (Cadastramento de Palestrantes e Participantes para Venda de Lotes e Divulgação dos Eventos)

Verify Data Annotations in Yolo and PASCAL VOC Format

Twice the dataset, same the time for annotation!

Building REST APIs using ASP.NET Core and Entity Framework Core

This project leverages a custom-trained YOLOv9 model to detect objects related to room cleanliness. Built with Gradio, it provides an interactive web interface where users can upload images and adjust detection parameters. The app returns images with annotated bounding boxes around detected objects, aiding in room organization tasks.

New multi-targeting cross platform Validator using DataAnnotations to validate your entire object graph.