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Computer Vision: YOLO Custom Object Detection with Colab GPU
Computer Vision: YOLO Custom Object Detection with Colab GPU

Computer Vision: YOLO Custom Object Detection with Colab GPU: YOLO: Pre-Trained COCO Dataset and Custom-Trained Coronavirus Object Detection Model with Google Colab GPU Training

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Profile Icon Abhilash Nelson
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$9.99 $124.99
Video Feb 2024 3hrs 59mins 1st Edition
Video
$9.99 $124.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Abhilash Nelson
Arrow right icon
$9.99 $124.99
Video Feb 2024 3hrs 59mins 1st Edition
Video
$9.99 $124.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$9.99 $124.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Get started with the You Only Look Once (YOLO) object detection method
  • Build models to recognize objects in images and real-time webcam videos
  • Learn how to prepare custom datasets to build your own coronavirus detection model

Description

Object detection is the most commonly used application of computer vision, which also helps the computer recognize and classify objects inside an image. This video course will help you learn Python-based object recognition methods and develop custom object detection models. The course begins with an introduction to the You Only Look Once (YOLO) object detection system, Python programming, and Convolutional Neural Networks (CNNs). You will learn object detection by installing Anaconda on your computer and the OpenCV library in Python. Next, you will learn to perform object detection and recognition on a single object in an image and on a real-time webcam video using YOLO pre-trained model and Common Objects in Context (COCO) dataset. Moving ahead, you will learn the pros and cons of using a pre-trained dataset model and a custom dataset trained model. In addition, you will get an overview of the free GPU offered by Google Colab. Toward the end, you will learn to create a custom dataset and train a darknet YOLO model to detect coronavirus from an electron microscope image or video output. By the end of this video course, you will develop the skills required to build object recognition models using predefined and custom datasets.

Who is this book for?

If you are a beginner, a developer, or a computer vision enthusiast who wants to develop models for object recognition using Python, then this course is for you. A basic understanding of Python and object recognition is recommended, but not mandatory, to quickly understand the concepts explained.

What you will learn

  • Become familiar with Python and OpenCV libraries
  • Perform object recognition using a predefined dataset
  • Create a custom dataset and train the You Only Look Once (YOLO) model
  • Use the YOLO model on a single image for object detection
  • Try the YOLO model for object detection from a real-time webcam video
  • Create a full-fledged flawless coronavirus detection model

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Feb 12, 2024
Publication date : Sep 30, 2020
Length: 3hrs 59mins
Edition : 1st
Language : English
ISBN-13 : 9781800563865
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Languages :
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Product Details

Last updated date : Feb 12, 2024
Publication date : Sep 30, 2020
Length: 3hrs 59mins
Edition : 1st
Language : English
ISBN-13 : 9781800563865
Category :
Languages :
Tools :

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Table of Contents

26 Chapters
Course Introduction and Table of Contents Chevron down icon Chevron up icon
Introduction to You Only Look Once (YOLO) Object Detection Chevron down icon Chevron up icon
Environment Setup - Installing Anaconda Chevron down icon Chevron up icon
Python Basics Chevron down icon Chevron up icon
Installing OpenCV Library Chevron down icon Chevron up icon
Introduction to Convolutional Neural Networks (CNNs) Chevron down icon Chevron up icon
You Only Look Once (YOLO) Pre-Trained Object Detection from Image Chevron down icon Chevron up icon
You Only Look Once (YOLO) Pre-Trained Object Detection from an Image – Non-Maximum Suppression (NMS) Chevron down icon Chevron up icon
You Only Look Once (YOLO) Pre-Trained Object Detection from a Real-Time Webcam Video Chevron down icon Chevron up icon
You Only Look Once (YOLO) Pre-Trained Object Detection from a Pre-Saved Video Chevron down icon Chevron up icon
Introduction to the Custom-Trained You Only Look Once (YOLO) Model Chevron down icon Chevron up icon
YOLOv4 Custom Training Phase 1 – Preparing Darknet Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Collection Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Image Labelling Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Train Test Split Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Preparation Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Training Phase 3 – Data Sync Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Training Phase 4 - Compile and Test Darknet Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Chart and Training Progress Analysis Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Finalizing Training Download Weights Chevron down icon Chevron up icon
Colab GPU Usage Limit Issue Chevron down icon Chevron up icon
OpenCV Upgrade for You Only Look Once v4 (YOLOv4) Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Pre-Trained Object Recognition from an Image and a Video Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from an Image Chevron down icon Chevron up icon
You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from a Video Chevron down icon Chevron up icon
Other Sample Real-World Case Studies Chevron down icon Chevron up icon
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