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SubscriptionObject Detection 101 Course - Including 4xProjects | Computer Vision
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This long video works through object detection from the ground up: the field's history, the metrics used to judge a detector, environment setup, and then running YOLO on images and webcam input. A chapter on GPU use shows how to speed the same pipeline up.
Each project applies the same detection pipeline to a different problem, which makes the progression easy to follow.
The platform labels it advanced, but the opening chapters are introductory, so it works as a starting point. The project section assumes you are comfortable running Python code on your own machine.
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00:00 Introduction
02:08 Chapter 1 - What is Object Detection?
03:30 Chapter 2 - A Brief History
06:16 Chapter 3 - Performance Evaluation Metrics
09:07 Chapter 4 - Installations
19:23 Chapter 4.1 - Package Installations
25:45 Chapter 5 - Running Yolo
37:14 Chapter 6 - Yolo with Webcam
01:08:17 Chapter 7 - Yolo with GPU
01:21:39 Premium Courses
01:23:51 Project 1 - Car Counter
02:17:58 Project 2 - People Counter
02:31:41 Project 3 - PPE Detection (Custom Training)
03:06:19 Project 4 - Poker Hand Detector
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