YOLOv4 Object Detection Course

YOLOv4 Object Detection Course, available at $59.99, has an average rating of 4.5, with 57 lectures, 1 quizzes, based on 77 reviews, and has 4402 subscribers.

You will learn about The basics about YOLOv4 Installing all the pre-requisites including Python, OpenCV, CUDA and Darknet You will be able to detect objects on images Implement YOLOv4 Object detection on videos Creating your own social distancing monitoring app This course is ideal for individuals who are Are a computer vision developer that utilizes AI and are eager to level-up your skills. or Have experience with machine learning and want to break into neural networks or AI for visual understanding. or Are a scientist looking to apply deep learning + computer vision algorithms to your research. or Are a university student and want more than your university offers (or want to get ahead of your class). or Utilize computer vision algorithms in your own projects but have yet to try deep learning. or Used AI in projects before, but never in the context of analysis of visual perception. or Write Python/ML code at your day job and are motivated to stand out from your coworkers. or Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision. or You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight. or You’re someone that believes in taking action. You watch the material and then you actually APPLY it. It is particularly useful for Are a computer vision developer that utilizes AI and are eager to level-up your skills. or Have experience with machine learning and want to break into neural networks or AI for visual understanding. or Are a scientist looking to apply deep learning + computer vision algorithms to your research. or Are a university student and want more than your university offers (or want to get ahead of your class). or Utilize computer vision algorithms in your own projects but have yet to try deep learning. or Used AI in projects before, but never in the context of analysis of visual perception. or Write Python/ML code at your day job and are motivated to stand out from your coworkers. or Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision. or You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight. or You’re someone that believes in taking action. You watch the material and then you actually APPLY it.

Enroll now: YOLOv4 Object Detection Course

Summary

Title: YOLOv4 Object Detection Course

Price: $59.99

Average Rating: 4.5

Number of Lectures: 57

Number of Quizzes: 1

Number of Published Lectures: 57

Number of Published Quizzes: 1

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 60

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

• The basics about YOLOv4
• Installing all the pre-requisites including Python, OpenCV, CUDA and Darknet
• You will be able to detect objects on images
• Implement YOLOv4 Object detection on videos
• Creating your own social distancing monitoring app

Who Should Attend

• Are a computer vision developer that utilizes AI and are eager to level-up your skills.
• Have experience with machine learning and want to break into neural networks or AI for visual understanding.
• Are a scientist looking to apply deep learning + computer vision algorithms to your research.
• Are a university student and want more than your university offers (or want to get ahead of your class).
• Utilize computer vision algorithms in your own projects but have yet to try deep learning.
• Used AI in projects before, but never in the context of analysis of visual perception.
• Write Python/ML code at your day job and are motivated to stand out from your coworkers.
• Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision.
• You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.
• You’re someone that believes in taking action. You watch the material and then you actually APPLY it.

Target Audiences

• Are a computer vision developer that utilizes AI and are eager to level-up your skills.
• Have experience with machine learning and want to break into neural networks or AI for visual understanding.
• Are a scientist looking to apply deep learning + computer vision algorithms to your research.
• Are a university student and want more than your university offers (or want to get ahead of your class).
• Utilize computer vision algorithms in your own projects but have yet to try deep learning.
• Used AI in projects before, but never in the context of analysis of visual perception.
• Write Python/ML code at your day job and are motivated to stand out from your coworkers.
• Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision.
• You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.
• You’re someone that believes in taking action. You watch the material and then you actually APPLY it.