Now supports both Blazor Server and WASM and MAUI Hybrid.
- Neural Network
- Image Classification
- Sound Classifier
- Object Detector (YOLO and COCOSSD based)
- PoseNet
- Sentiment Analyzer
- FaceMesh
Install Asp.Net Core payload and then follow Installation Instructions here to configure ML5 to use it from C# Blazor app.
API documentation can be followed from here after lib configuration. .
@page "/nn" @using BlazorML5 @using BlazorML5.Helpers @inject IJSRuntime runtime <PageTitle>Index</PageTitle> <button @onclick="AddData">Add Data and Train</button> @code { NeuralNetwork _network; protected override async Task OnInitializedAsync() { await Ml5.InitAsync(runtime); _network = await Ml5.NeuralNetworkAsync(new NeuralNetworkOptions() { Task = TaskType.Classification, DataUrl = "https://raw.githubusercontent.com/ml5js/ml5-library/main/examples/p5js/NeuralNetwork/NeuralNetwork_color_classifier/data/colorData_small.json", Debug = true, Inputs = new object[]{"r", "g", "b"}, Outputs = new object[]{"label"} }); _network.OnTraining+=(l,e)=> { Console.WriteLine($"Training: {e}%"); }; _network.OnTrainingComplete+=async ()=> { Console.WriteLine($"Training Complete"); await _network.ClassifyMultipleAsync(new object[]{new object[]{12,13,14},new object[]{15,16,17}}); }; _network.OnDataLoaded+=(e)=> { Console.WriteLine($"Data Loaded"); }; _network.OnClassify+=async (l,e)=> { Console.WriteLine(e.Length); Console.WriteLine(e[0].Label); }; _network.OnClassifyMultiple+=async (l,e)=> { Console.WriteLine(e.Length); Console.WriteLine(e[0].Length); Console.WriteLine(e[0][0].Label); }; } async void AddData() { //data fetched from .csv file no need to manually add and hence directly training //await _network.NormalizeDataAsync(); await _network.TrainAsync(); } }More samples here