FREE: YOLOv7 Custom Object Detection Course
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
-
Dr. Priyanto Hidayatullah (Ph.D in AI)
Ph.D in Artificial Intelligence -
Stunning Vision AI Academy
Providing high-quality education in AI and Computer Vision.
Rating Distribution
- 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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