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Using machine learning to classify visual content or detect objects within image and video streams.
Distinct from Image-to-Video Generation: None of the candidates cover the combined domain of AI-driven analysis for both images and video; they focus on synthesis or UI viewports.
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This repository is a collection of reference implementations, templates, and sample galleries for building and integrating machine learning models within the .NET ecosystem. It provides a set of practical demonstrations for implementing machine learning workflows using the ML.NET framework. The project emphasizes the integration of pre-trained models via the Open Neural Network Exchange format, allowing the execution of external machine learning logic within managed applications. It includes specific examples for loading and executing these standardized models to ensure cross-platform compati
Implements machine learning workflows to classify image content and detect objects within real-time video streams.