YOLOv7 Object Detection Course

YOLOv7 Object Detection Course, available at $54.99, has an average rating of 4.05, with 22 lectures, based on 17 reviews, and has 132 subscribers.

You will learn about Fundamentals of YOLOv7 Training YOLOv7 in Custom Dataset Deploying&Testing the Model in YOLOv7 Data Processing, Segmentation, Data Collection, and Essential Prerequisites in YOLOv7 This course is ideal for individuals who are Everyone who is interested in Computer Vision or Machine Learning. or Want to learn the latest YOLO version or Build Deep learning App with Computer Vision It is particularly useful for Everyone who is interested in Computer Vision or Machine Learning. or Want to learn the latest YOLO version or Build Deep learning App with Computer Vision.

Enroll now: YOLOv7 Object Detection Course

Summary

Title: YOLOv7 Object Detection Course

Price: $54.99

Average Rating: 4.05

Number of Lectures: 22

Number of Published Lectures: 22

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of YOLOv7
Training YOLOv7 in Custom Dataset
Deploying&Testing the Model in YOLOv7
Data Processing, Segmentation, Data Collection, and Essential Prerequisites in YOLOv7

Who Should Attend

Everyone who is interested in Computer Vision or Machine Learning.
Want to learn the latest YOLO version
Build Deep learning App with Computer Vision

Target Audiences

Everyone who is interested in Computer Vision or Machine Learning.
Want to learn the latest YOLO version
Build Deep learning App with Computer Vision

==Price going up to $29 on 5th October 2022 due to new content==

Object-detection technology is widely used as the backend of many applications in the industry, including desktop and web applications. Also, it’s a backbone for many computer vision tasks, which include object segmentation, object tracking, object classification, object counting, etc. The YOLO (You Only Look Once) model is a single-stage object detector. Image frames are featured through a backbone, features are combined and mixed in the neck, and then they are passed along to the head of the network where YOLO predicts the bounding box locations, the classes of the bounding boxes, and the objectness of the bounding boxes. With its amazing characteristics, YOLOv7 is a real-time object detector that is now transforming computer vision.

In comparison to its earlier iterations, the official YOLOv7 offers incredible speed and precision. YOLOv7 weights are trained without pre-trained weights using the COCO dataset from Microsoft. With this full-stack object detection course, you will learn to code YOLOv7 from the basics, training your custom YOLOv7, multi-object tracking system, Flask integrations, various segmentation, and object detection feature to its most practical applications. You will also have access to the most delicate details of this state-of-the-art system.

In this course, we will share the first two modules of our full-stack course.

Module 1 – Getting Started with YOLOv7

Module 2 – Training YOLOv7 on Custom Dataset

This course is highly recommended to anyone interested in computer vision!

Course Curriculum

Chapter 1: Module 1 – Introduction to YOLOv7

Lecture 1: Lecture 1.1 Introduction to YOLOv7

Lecture 2: Lecture 1.2 YOLOv7 Research Paper

Lecture 3: Lecture 1.3 Run YOLOv7 on Ubuntu

Lecture 4: Lecture 1.4 Run YOLOv7 on Windows 10/11

Lecture 5: Lecture 1.5.1 YOLOv7 Object Detection on Images, Video & WebCam in Google Colab

Lecture 6: Lecture 1.5.2 Training YOLOv7 in Colab

Chapter 2: Module 2 – Training Custom YOLOv7

Lecture 1: Lecture 2.1 Training Process of YOLOv7

Lecture 2: Lecture 2.2.1 Custom Dataset PPE Detection part 1

Lecture 3: Lecture 2.2.2 Custom Dataset PPE Detection part 2

Lecture 4: Lecture 2.3.1 Data Collection Part 1

Lecture 5: Lecture 2.3.2 Data Collection Part 2

Lecture 6: Lecture 2.3.3 Data Collection Part 3

Lecture 7: Lecture 2.4 Data Annotation

Lecture 8: Lecture 2.5 Dataset Bias & Health

Lecture 9: Lecture 2.6 Data Pre-processing

Lecture 10: Lecture 2.7 Data Augmentation

Lecture 11: Lecture 2.8.1 Roboflow Train Part 1

Lecture 12: Lecture 2.8.2 Roboflow Train Part 2

Lecture 13: Lecture 2.9 Tuning Training Parameters

Lecture 14: Lecture 2.10 Deploy the Model

Lecture 15: Lecture 2.11 Testing the Model

Lecture 16: Bonus Lecture – Continue Learning YOLOv7

Instructors

Augmented Startups
M(Eng) AI Instructor 100k+ Subs on YouTube & 60k+ students

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 2 votes
4 stars: 6 votes
5 stars: 6 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!

Menu