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