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FREE: YOLOv7 Custom Object Detection Course

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FREE: YOLOv7 Custom Object Detection Course, available at Free, has an average rating of 4.47, with 27 lectures, based on 19 reviews, and has 530 subscribers.

You will learn about How to run, from scratch, a YOLOv7 program to detect 80 object classes in < 10 minutes How to install and train YOLOv7 using your own Custom Dataset and perform Object Detection for image, video and Real-Time using Webcam/Camera YOLOv7 architecture and how it really works How to find dataset Data annotation/labeling using LabelImg Automatic Dataset splitting How to visualize training performance using TensorBoard Real-World Project: Masker detection using YOLOv7 This course is ideal for individuals who are Professionals who want to quickly grasp and apply YOLOv7. or Undergraduate/Graduate students who are taking computer vision using deep learning as their final project or Any one who is interested in learning Deep Learning and How to Apply it in solving Computer Vision problem It is particularly useful for Professionals who want to quickly grasp and apply YOLOv7. or Undergraduate/Graduate students who are taking computer vision using deep learning as their final project or Any one who is interested in learning Deep Learning and How to Apply it in solving Computer Vision problem.

Enroll now: FREE: YOLOv7 Custom Object Detection Course

Summary

Title: FREE: YOLOv7 Custom Object Detection Course

Price: Free

Average Rating: 4.47

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

  • How to run, from scratch, a YOLOv7 program to detect 80 object classes in < 10 minutes
  • How to install and train YOLOv7 using your own Custom Dataset and perform Object Detection for image, video and Real-Time using Webcam/Camera
  • YOLOv7 architecture and how it really works
  • How to find dataset
  • Data annotation/labeling using LabelImg
  • Automatic Dataset splitting
  • How to visualize training performance using TensorBoard
  • Real-World Project: Masker detection using YOLOv7

Who Should Attend

  • Professionals who want to quickly grasp and apply YOLOv7.
  • Undergraduate/Graduate students who are taking computer vision using deep learning as their final project
  • Any one who is interested in learning Deep Learning and How to Apply it in solving Computer Vision problem

Target Audiences

  • Professionals who want to quickly grasp and apply YOLOv7.
  • Undergraduate/Graduate students who are taking computer vision using deep learning as their final project
  • Any one who is interested in learning Deep Learning and How to Apply it in solving Computer Vision problem

Welcome to the YOLOv7 Custom Object Detection Course (FREE)

So what will you learn:

1. How to run, from scratch, a YOLOv7 program to detect 80 types of objects in < 10 minutes.This introductory exercise will take less than 10 minutes, giving you a quick and satisfying win to start the course.

2. How convolutional neural networks work (convolution process, pooling layer, flattening, etc)

3. YOLOv7 architecture in detail

4. How to find the dataset

5. How to perform data annotation using LabelImg.This step-by-step guide will teach you how to label your data accurately, which is a crucial part of training an effective object detection model.

6. How to automatically split a dataset. Automate the process of splitting your dataset into training, validation, and test sets

7. A detailed step-by-step YOLOv7 installation. We will cover everything from setting up the environment to verifying your installation

8. Train YOLOv7 on your own custom dataset.You will learn how to configure the model, set up training parameters, and monitor the training process

9. Visualize your training result using Tensorboard. This tool will help you understand how your model is learning over time and identify any potential issues

10. Test the trained YOLOv7 model on image, video, and webcam

11. Real World Project: Robust mask detector using YOLOv7

12. Please bear in mind that Udemy Free Course can have 2 HOURS lectures onlytherefore only object detection can be taught. What Next? 

Learn Pose Estimation and Image Segmentation of YOLOv7 and other YOLO versions powerful features in our “YOLOv7-YOLOv8-YOLOv9 : 3 in 1 course”.

Course Curriculum

Chapter 1: How to run your first YOLOv7 Deep Learning program in < 10 minutes

Lecture 1: How to Install Python and requirements

Lecture 2: How to install OpenCV

Lecture 3: How to run your first Deep Learning program using YOLOv7 in < 3 minutes

Chapter 2: Understanding Deep Learning and YOLOv7

Lecture 1: Understanding Deep Learning

Lecture 2: Convolutional Neural Networks summary

Lecture 3: YOLOv7 architecture detailed explanation

Chapter 3: Tools Installation

Lecture 1: How to install Anaconda

Lecture 2: How to install Git

Chapter 4: Dataset Preparation

Lecture 1: How to Find Dataset

Lecture 2: Understanding YOLO dataset annotation format

Lecture 3: Dataset Annotation using LabelImg

Lecture 4: Dataset Splitting

Chapter 5: YOLOv7 prerequisites Installation

Lecture 1: Install GPU Driver

Lecture 2: Install CUDA

Lecture 3: Install CuDNN

Chapter 6: YOLOv7 Installation

Lecture 1: Install YOLOv7 in CPU Mode

Lecture 2: Install YOLOv7 in GPU Mode

Chapter 7: Perform Object Detection using YOLOv7 pretrained model on image, video, webcam.

Lecture 1: Intro Object Detection

Lecture 2: YOLOv7 Object Detection on image (GPU Mode)

Lecture 3: YOLOv7 Object Detection on video and webcam (GPU Mode)

Chapter 8: Training YOLOv7 detection model on custom dataset

Lecture 1: Preparing dataset and splitting the dataset automatically

Lecture 2: Make configuration file

Lecture 3: Perform training and see the accuracy graph using Tensorboard

Lecture 4: How to continue an unfinished training

Lecture 5: Face Mask Detection

Chapter 9: YOLOv7 Performance Measurement

Lecture 1: Accuracy Measurement using Mean Average Precision

Chapter 10: What's Next ?

Lecture 1: What's Next ?

Instructors

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  • 1 stars: 0 votes
  • 2 stars: 1 votes
  • 3 stars: 2 votes
  • 4 stars: 5 votes
  • 5 stars: 11 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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