10最好的物体检测教程推荐

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特写 iPhone,显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 物体检测 技能并获得 物体检测 证书。

在这篇博客文章中,我们的专家汇总了 10 个精选列表 最好的 物体检测 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容!

10最好的物体检测教程推荐

1. “Object Detection Web App with TensorFlow, OpenCV and Flask” 经过 Yaswanth Sai Palaghat Udemy课程 我们的最佳选择

Build an Object Detection Model from Scratch using Deep Learning and Transfer Learning

截至目前,超过 31821+ 人们已经注册了这门课程,而且已经结束了 217+ 评论.

课程内容
Introduction
Getting Started
Object Detection Project

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2. Train YOLO for Object Detection with Custom Data 经过 Valentyn Sichkar Udemy课程

“Build your own detector by labelling, training and testing on image, video and in real time with camera: YOLO v3 and v4”

截至目前,超过 4540+ 人们已经注册了这门课程,而且已经结束了 937+ 评论.

课程内容
Welcome
Objects Detection with YOLO v3-v4
Labelling new dataset in YOLO format
Creating custom dataset in YOLO format
Converting Traffic Signs dataset in YOLO format
Training YOLO v3-v4 in Darknet framework
Building PyQt user interface for Objects Detection with YOLO v3-v4
How does it work?
YOLO v4

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3. YOLOv4 Object Detection Course 经过 “Augmented Startups, Geeky Bee AI Private Limited” Udemy课程

How to Implement & Train YOLOv4 for Object Detection

截至目前,超过 4341+ 人们已经注册了这门课程,而且已经结束了 70+ 评论.

课程内容
YOLOv4 Starter Course – Introduction
YOLOv4 Trainers Course
YOLOv4 PyQT Course

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4. Computer Vision: Python OCR & Object Detection Quick Starter 经过 Abhilash Nelson Udemy课程

“Quick Starter for Optical Character Recognition, Image Recognition Object Detection and Object Recognition using Python”

截至目前,超过 4226+ 人们已经注册了这门课程,而且已经结束了 317+ 评论.

课程内容
Course Introduction and Table of Contents
Introduction to OCR Concepts and Libraries
Setting up Environment – Anaconda
Python Basics (Optional)
Tesseract OCR Setup
OpenCV Setup
Tesseract Image OCR Implementation
Optional: cv2.imshow() Not Responding Issue Fix
Optional: OCR Text not printing in console
Introduction to CNN – Convolutional Neural Networks – Theory Session
Installing Additional Dependencies for CNN
Introduction to VGGNet Architecture
Image Recognition using Pre-Trained VGGNet16 Model
Image Recognition using Pre-Trained VGGNet19 Model
Image Recognition using Pre-Trained ResNet Model
Image Recognition using Pre-Trained Inception Model
Image Recognition using Pre-Trained Xception Model
Introduction to MobileNet-SSD Pretrained Model
Mobilenet SSD Object Detection
Mobilenet SSD Realtime Video
Mobilenet SSD Pre-saved Video
Mask RCNN Pre-trained model Introduction
MaskRCNN Bounding Box Implementation
MaskRCNN Object Mask Implementation
MaskRCNN Realtime Video
MaskRCNN Pre-saved Video
YOLO Pre-trained Model Introduction
YOLO Implementation
YOLO Real-time Video
YOLO Pre-saved Video
Tiny YOLO Pre-saved Video
Tiny YOLO Real-time Video
YOLOv4 – Step 1 – Updating OpenCV version
YOLOv4 – Step 2 – Object Recognition Implementation
SOURCE CODE AND FILES ATTACHED

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5. Computer Vision: YOLO Custom Object Detection with Colab GPU 经过 Abhilash Nelson Udemy课程

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

截至目前,超过 3615+ 人们已经注册了这门课程,而且已经结束了 235+ 评论.

课程内容
Course Introduction and Table of Contents
Introduction to YOLO Object Detection
Environment Setup – Installing Anaconda
Python Basics (Optional)
Installing OpenCV Library
Introduction to CNN – Theory Session
YOLO Pre-trained Object Detection From Image
YOLO Pre-trained Object Detection From Image – NMS
YOLO Pre-trained Object Detection From Realtime Webcam Video
YOLO Pre-trained Object Detection From Pre-saved Video
Introduction to Custom Trained YOLO Model
YOLOv4 Custom Training Phase 1 – Preparing Darknet
YOLOv4 Custom Training Phase 2 – Data Collection
YOLOv4 Custom Training Phase 2 – Image Labelling
YOLOv4 Custom Training Phase 2 – Train Test Split
YOLOv4 Custom Training Phase 2 – Data Preparation
YOLOv4 Custom Training Phase 3 – Data Sync
YOLOv4 Custom Training Phase 4 – Compile and Test Darknet
YOLO Custom Training Phase 5 – Start Training and Monitoring
YOLOv4 Custom Training Phase 5 – Finalizing Training Download Weights
Colab GPU Usage Limit Issue
OpenCV upgrade for YOLOv4
YOLOv4 Pretrained Object Recognition from Image and Video
YOLOv4 Custom Coronavirus Detection from Image
YOLOv4 Custom Coronavirus Detection from Video
Other Sample Realworld Case Studies
SOURCE CODE AND FILES ATTACHED

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6. Deep learning for object detection using Tensorflow 2 经过 Nour Islam Mokhtari Udemy课程

“Understand, train and evaluate Faster RCNN, SSD and YOLO v3 models using Tensorflow 2 and Google AI Platform”

截至目前,超过 1640+ 人们已经注册了这门课程,而且已经结束了 177+ 评论.

课程内容
Object detection as a concept in computer vision
How to choose the right neural network for your object detection task
Software setup
Data for object detection
Training an object detection model on your local machine
Training object detection API models using Google Cloud AI Platform
YOLO v3 for object detection

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7. YOLOv3 – Robust Deep Learning Object Detection in 1 hour 经过 Augmented Startups Udemy课程

The Complete Guide to Creating your own Custom AI Object Detection. Learn the Full Workflow – From Training to Inference

截至目前,超过 1336+ 人们已经注册了这门课程,而且已经结束了 207+ 评论.

课程内容
Introduction to Yolo V3 Object Detection
Deep Learning Basics
The Quickest Way to get YoloV3 up and Running!
How to Train Yolo V3 – Training & Workflow
Post-Processing and Maintenance
Conclusion

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8. YOLO: Automatic License Plate Detection & Extract text App 经过 “Data Science Anywhere, Gusksra R” Udemy课程

“Learn to Develop License Plate Object Detection, OCR and Create Web App Project using Deep Learning, TensorFlow 2, Flask”

截至目前,超过 732+ 人们已经注册了这门课程,而且已经结束了 105+ 评论.

课程内容
Introduction
Labeling
Data Processing
Deep Learning for Object Detection
Pipeline Object Detection Model
Optical Character Recognition (OCR)
Flask App
Number Plate Web App
Real Time Number Plate Recognition with YOLO
YOLO Number Plate Web App Code
BONUS

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9. OpenCV Practical with Python – 3 Complete Projects + CODE 经过 Up Degree Udemy课程

“OpenCV to Computer Vision app Like Face Recognition, Motion Detector, Hand Detector”

截至目前,超过 296+ 人们已经注册了这门课程,而且已经结束了 31+ 评论.

课程内容
Overview and Environment Setup
Tools For OpenCV
OpenCV Introduction and Environment Setup
Project #1 : Building a Motion Detector App
Project #2 : Building a Hand Detector App
Project #3 : Face Recognition App

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10. Deep learning :End to End Object Detection Masters 经过 Ineuron Intelligence Udemy课程

“Become an Object Detection Guru. Build Object Detection model using Deep Learning with Tensorflow, Detectron2 and YoloV5”

截至目前,超过 229+ 人们已经注册了这门课程,而且已经结束了 38+ 评论.

课程内容
Introduction and Setup
Covering Python Basics
Introduction to Object Detection
Object Detection using Tensorflow 1.x
Training Mask Detector using TFOD1.x
Building a TFOD1.x Web Application
Object Detection using Tensorflow 2.x
Custom Training with TFOD2.x
Creating a Web Application with TFOD2.x
Object Detection using Facebooks’s Detectron2
Training Detecron2 with Custom Mixed Dataset
Creating a Web Application with Detectron2
Introduction to YoloV5
Custom Training with YoloV5
Creating a Web Application with YoloV5

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下面是一些关于学习的常见问题物体检测

学习物体检测需要多长时间?

“学习物体检测需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求,每个人都在不同的场景下工作,所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题:你想学习 物体检测 是为了什么?你的出发点在哪里?您是初学者还是有使用 物体检测 的经验?你能练习多少?每天1小时?每周40小时? 查看本课程关于 物体检测.

物体检测 学起来容易还是难?

不,学习 物体检测 对大多数人来说并不难。检查这个 关于如何学习的课程 物体检测 立刻!

如何快速学习物体检测?

学习 物体检测 最快的方法是先得到这个 物体检测 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 物体检测?

如果您想探索和学习 物体检测,那么 Udemy 为您提供了学习 物体检测 的最佳平台。查看此 关于如何学习的课程 物体检测 立刻!