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
Overview
Syllabus
Introduction
Agenda
Why AI
ML NET
Why ML NET
ML NET Possibilities
ML NET Tools
Machine Learning Workflow
Question Time
ML NET CLI
Demo
Beyond Sentiment Analysis
Model Builder
Object Detection
Visual Object Tag Tool
Create Project
ML NET Model Builder
Running the Experiment
How long does it take
Magic
Testing
Code
Model
Model Folder
Taught by
NDC Conferences
