machinelearning-samples
ML.NET-Auto-ML-ESRB-Rating-Classification
| machinelearning-samples | ML.NET-Auto-ML-ESRB-Rating-Classification | |
|---|---|---|
| 4 | 3 | |
| 4,341 | 3 | |
| 0.8% | - | |
| 3.7 | 0.0 | |
| 8 days ago | about 2 years ago | |
| PowerShell | C# | |
| MIT License | - |
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machinelearning-samples
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Is data analysis dying?
I kinda have to agree, just take a look at where Microsoft ML.NET is headed: https://github.com/dotnet/machinelearning-samples
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YoloV5 output format
I used Netron to inspect the onnx file and the output is named "output" and the type if float32[1,25200,6]. I was using a tutorial I found here but it's based on Tiny YoloV2 which is says has an output of "None x 125 x 13 x 13" so I don't know if I can apply the same logic here. In case it matters, my model only has a single label/class.
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What can you do in ML.NET with C#?
In the meantime, I recommend looking into Microsoft's documentation on ML.NET for additional details or checking out their ML.NET samples on GitHub
- ML/Image Classification/Face recognition on M1 Mac?
ML.NET-Auto-ML-ESRB-Rating-Classification
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The 3 Core Machine Learning Tasks
This trained model would then be able to predict ESRB ratings for video games that had yet to be released and generate some degree of probability that a game might be in any given rating.
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What can you do in ML.NET with C#?
For more code examples around multi-class classification, take a look at my article and video on using AutoML and ML.NET to predict ESRB ratings for video games which also serves as an in-depth introduction to ML.NET for a single task.
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Using C# and Auto ML in ML .NET to Predict Video Game Ratings
This article comes with an accompanying GitHub repository containing a .NET 6 console app that can train itself to evaluate video games and predict an ESRB rating for games the trained model hasn't seen before.
What are some alternatives?
FaceRecognitionDotNet - The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
NsfwSpy.NET - A .NET image and video classifier used to identify explicit/pornographic content written in C#.
blazor-ml - Example combining Blazor with ML.NET
pycaret - An open-source, low-code machine learning library in Python
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
SentimentAnalyzer - This repo contains the source code of SentimentAnalyzer. It's an on-device (offline) open-source library to find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiment. Powered by ML.NET
OpenAI-API-dotnet - An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API
MLBox - MLBox is a powerful Automated Machine Learning python library.
OpenAI.Net - OpenAI library for .NET
nylon - An intelligent, flexible grammar of machine learning.
Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment - This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.