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

Курс от Packt
Начальный≈ 13.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you'll dive into the world of real-time object detection with YOLO, one of the most powerful algorithms for detecting objects in images and videos. The course begins with an introduction to YOLO and object detection, followed by setting up your development environment with Anaconda and installing essential libraries like OpenCV. A review of Python basics ensures you are equipped with the necessary programming knowledge before delving into convolutional neural networks (CNNs). Once your environment is ready, the course progresses into more advanced topics such as implementing YOLO for pre-trained object detection. You’ll explore practical examples, including detecting objects in images, videos, and live webcam feeds. The course then takes you through custom training with YOLOv4, where you will learn to collect and label data, train-test split, and prepare Darknet for training your own models. Each phase of custom training is covered step by step, including synchronization with Google Colab and Drive, testing Darknet, and fine-tuning the training process. By the end of the course, you'll be adept at training YOLO models for specific use cases, including the detection of various objects and even custom challenges such as COVID-19 detection. Along the way, you'll troubleshoot common issues like GPU usage limits in Colab and explore real-world case studies to solidify your understanding. No prior knowledge of YOLO is required, but a basic understanding of machine learning concepts will be helpful. This course is designed for data scientists, machine learning engineers, and computer vision enthusiasts who are familiar with Python programming.

Навыки, которые вы освоите

Computer VisionModel TrainingDeep LearningConvolutional Neural NetworksDevelopment EnvironmentReal Time DataData PreprocessingModel EvaluationSoftware InstallationFine-tuningData CollectionTransfer LearningImage AnalysisMachine Learning AlgorithmsApplied Machine LearningPython Programming

Программа курса

26 модулей · 76 учебных материалов

01Course Introduction and Table of Contents2 материалов

Course Introduction and Table of Contents

Course Introduction and Table of ContentsВидеоFull Course ResourcesЧтение
02Introduction to You Only Look Once (YOLO) Object Detection2 материалов

Introduction to You Only Look Once (YOLO) Object Detection

Introduction to You Only Look Once (YOLO) Object DetectionВидео

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Packt - Course Instructors

Преподаватель курса

Computer Vision: YOLO Custom Object Detection with Colab GPU
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 13.7 ч

26 модулей

Язык: Английский

Субтитры: Венгерский, Японский, Испанский

Часть программы вашего университета
Understanding YOLO Object DetectionDIALOGUE
03Environment Setup - Installing Anaconda3 материалов

Environment Setup - Installing Anaconda

Environment Setup - Installing AnacondaВидеоSetting Up Python Environment with AnacondaDIALOGUEAssessment 1Задание
04Python Basics5 материалов

Python Basics

AssignmentВидеоFlow ControlВидеоData StructuresВидеоFunctionsВидеоBasic Python Assignment OperationsDIALOGUE
05Installing OpenCV Library2 материалов

Installing OpenCV Library

Installing OpenCV LibraryВидеоInstalling and Verifying OpenCV in AnacondaDIALOGUE
06Introduction to Convolutional Neural Networks (CNNs)3 материалов

Introduction to Convolutional Neural Networks (CNNs)

Introduction to Convolutional Neural Networks (CNNs)ВидеоExploring Convolutional Neural NetworksDIALOGUEAssessment 2Задание
07You Only Look Once (YOLO) Pre-Trained Object Detection from Image5 материалов

You Only Look Once (YOLO) Pre-Trained Object Detection from Image

You Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Part 1ВидеоYou Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Part 2ВидеоYou Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Part 3ВидеоYou Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Part 4ВидеоUnderstanding Pretrained Models with YOLODIALOGUE
08You Only Look Once (YOLO) Pre-Trained Object Detection from an Image – Non-Maximum Suppression (NMS)3 материалов

You Only Look Once (YOLO) Pre-Trained Object Detection from an Image – Non-Maximum Suppression (NMS)

You Only Look Once (YOLO) Pre-Trained Object Detection from an Image – Non-Maximum Suppression (NMS) - Part 1ВидеоYou Only Look Once (YOLO) Pre-Trained Object Detection from an Image – Non-Maximum Suppression (NMS) - Part 2ВидеоApplying Non-Maximum Suppression with YOLODIALOGUE
09You Only Look Once (YOLO) Pre-Trained Object Detection from a Real-Time Webcam Video3 материалов

You Only Look Once (YOLO) Pre-Trained Object Detection from a Real-Time Webcam Video

You Only Look Once (YOLO) Pre-Trained Object Detection from a Real-Time Webcam VideoВидеоSetting Up Real-Time Object Detection with OpenCVDIALOGUEAssessment 3Задание
10You Only Look Once (YOLO) Pre-Trained Object Detection from a Pre-Saved Video2 материалов

You Only Look Once (YOLO) Pre-Trained Object Detection from a Pre-Saved Video

You Only Look Once (YOLO) Pre-Trained Object Detection from a Pre-Saved VideoВидеоAdapting Object Detection to Pre-Recorded VideosDIALOGUE
11Introduction to the Custom-Trained You Only Look Once (YOLO) Model2 материалов

Introduction to the Custom-Trained You Only Look Once (YOLO) Model

Introduction to the Custom-Trained You Only Look Once (YOLO) ModelВидеоCreating a Custom Object Detection ModelDIALOGUE
12YOLOv4 Custom Training Phase 1 – Preparing Darknet4 материалов

YOLOv4 Custom Training Phase 1 – Preparing Darknet

You Only Look Once v4 (YOLOv4) Introduction and Downloading WeightsВидеоYou Only Look Once v4 (YOLOv4) Preparing DarknetВидеоSetting Up YOLOv4 for Object DetectionDIALOGUE Assessment 4Задание
13You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Collection3 материалов

You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Collection

Data Collection - Part 1ВидеоData Collection - Part 2ВидеоGathering and Preparing Image Data for Machine LearningDIALOGUE
14You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Image Labelling3 материалов

You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Image Labelling

Image Labelling - Part 1ВидеоImage Labelling - Part 2ВидеоLabeling Images for a Custom YOLO ModelDIALOGUE
15You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Train Test Split3 материалов

You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Train Test Split

You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Train Test SplitВидеоSplitting Datasets for Training and TestingDIALOGUEAssessment 5Задание
16You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Preparation3 материалов

You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Preparation

Data Preparation - Part 1ВидеоData Preparation - Part 2ВидеоEnsuring Uniform Data Formats in Image ProcessingDIALOGUE
17You Only Look Once v4 (YOLOv4) Custom Training Phase 3 – Data Sync3 материалов

You Only Look Once v4 (YOLOv4) Custom Training Phase 3 – Data Sync

Preparing Files Sync to DriveВидеоConnecting Colab and DriveВидеоSetting Up Google Colab with GPUDIALOGUE
18You Only Look Once v4 (YOLOv4) Custom Training Phase 4 - Compile and Test Darknet5 материалов

You Only Look Once v4 (YOLOv4) Custom Training Phase 4 - Compile and Test Darknet

Compile and Test Darknet - Part 1ВидеоCompile and Test Darknet - Part 2ВидеоCompile and Test Darknet - Part 3ВидеоManaging the Google Colab EnvironmentDIALOGUEAssessment 6Задание
19You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Chart and Training Progress Analysis2 материалов

You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Chart and Training Progress Analysis

You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Chart and Training Progress AnalysisВидеоTraining YOLOv4 for Image RecognitionDIALOGUE
20You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Finalizing Training Download Weights2 материалов

You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Finalizing Training Download Weights

You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Finalizing Training Download WeightsВидеоAnalyzing Model Training Metrics and DecisionsDIALOGUE
21Colab GPU Usage Limit Issue3 материалов

Colab GPU Usage Limit Issue

Colab GPU Usage Limit IssueВидеоManaging Google Colab GPU QuotaDIALOGUEAssessment 7Задание
22OpenCV Upgrade for You Only Look Once v4 (YOLOv4)2 материалов

OpenCV Upgrade for You Only Look Once v4 (YOLOv4)

OpenCV Upgrade for You Only Look Once v4 (YOLOv4)ВидеоUpdating OpenCV to 4.4 Using PythonDIALOGUE
23You Only Look Once v4 (YOLOv4) Pre-Trained Object Recognition from an Image and a Video3 материалов

You Only Look Once v4 (YOLOv4) Pre-Trained Object Recognition from an Image and a Video

You Only Look Once v4 (YOLOv4) Pre-Trained Object Recognition from an Image and a VideoВидеоUpdating YOLO Configuration FilesDIALOGUEAssessment 8Задание
24You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from an Image2 материалов

You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from an Image

You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from an ImageВидеоImplementing YOLO for Specific Object DetectionDIALOGUE
25You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from a Video3 материалов

You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from a Video

You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from a VideoВидеоImplementing Video Object Detection with YOLODIALOGUEAssessment 9Задание
26Other Sample Real-World Case Studies3 материалов

Other Sample Real-World Case Studies

Other Sample Real-World Case StudiesВидеоFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание