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Introduction
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Agenda
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Why AI
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ML NET
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Why ML NET
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ML NET Possibilities
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ML NET Tools
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Machine Learning Workflow
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Question Time
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ML NET CLI
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Demo
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Beyond Sentiment Analysis
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Model Builder
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Object Detection
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Visual Object Tag Tool
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Create Project
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ML NET Model Builder
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Running the Experiment
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How long does it take
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Magic
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Testing
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Code
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Model
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Model Folder
Description:
Discover how to implement real-time object detection using ML.NET in this conference talk from NDC Sydney 2021. Learn about the importance of computer vision in various industries and how ML.NET can help overcome resource limitations. Explore the latest ML.NET Model Builder, image labeling tools, and practical examples of computer vision applications. Gain insights into the machine learning workflow, the ML.NET CLI, and the process of creating, training, and testing object detection models. Understand how to leverage ML.NET to solve complex computer vision problems while staying within the .NET ecosystem.

Beyond Sentiment Analysis - Real Time Object Detection with ML NET

NDC Conferences
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