Mô tả

Welcome to the World's 1st YOLO Performance Improvement Course.

Unleash the Power of Deep Learning and Elevate Your Computer Vision Skills with the YOLOv8 Performance Improvement Masterclass!


The available courses ONLY teach you how to use YOLO (whatever the version). Yes??

Now, are you ready to take your computer vision expertise to the next level?

Look no further! Join our cutting-edge masterclass designed to sharpen your skills in Deep Learning and Computer Vision, focusing on the state-of-the-art YOLOv8 (You Only Look Once) model. This course will advance you in the field of artificial intelligence regardless of your level of experience or your level of enthusiasm.


Why Choose YOLOv8 Performance Improvement Masterclass

Unleash Speed and Accuracy

Discover how to maximize the performance of your YOLOv8 object detection models. Learn proven techniques to optimize speed and accuracy, making your models lightning-fast without compromising accuracy (or only a tiny drop)

Cutting-Edge Techniques

Explore a comprehensive range of cutting-edge techniques, including TensorRT optimization, OpenVino and Quantization, Architecture Modification, Hyperparameter Tuning, Data Augmentation, and Pseudo Labeling. Master how to construct superior AI systems by using the same technologies as industry experts.

Practical Projects

Implement and experiment with each technique, understand their impact, and harness them for your own AI ventures.

Expert Insights

Benefit from our expertise in both research and industry projects.


Why Attend the Masterclass

  • Career Advancement: Acquire specialized skills that set you apart in the competitive AI job market, opening doors to lucrative career opportunities.

  • Finish Study ASAP: Find a compelling cutting-edge technique for your final projects. Finish your study and get your degree ASAP.

  • Get Published in High Impact Journals: Discover inspiration for novelty or contribution to your research. Get published in your dream journals.

  • Real-World Impact: Transform theory into practice and create AI systems that revolutionize industries.

  • Exclusive Community: Join a network of similar-interest professionals and helpful mentors.


Testimonials

This course has been taught as workshops that are enthusiastically attended by industrial professionals, researchers, and students. What do they say? Let's find out!

"The workshop was conducted well. In my opinion, the materials and instructors are outstanding." -Aris Setiadi, AI Professional

"The workshop was excellent and highly educational. The information was thorough and useful." -Fikrul Akbar, Ph.D. Student

"The workshop was fantastic! Preparation for my Ph.D." -Afdhol Dzikri, Aspiring Ph.D. Student

"The workshop was inspiring. It was taught by experts. Highly recommended for those who want to deepen YOLOv8" -Ryanda Narlan, AI Enthusiast


Join Us in Revolutionizing AI Vision

So, what are you waiting for? Don't miss your chance to be part of a groundbreaking masterclass that will reshape your AI and Computer Vision journey. Let's elevate AI vision together! Join the masterclass now!


Disclaimer: Your performance increase may be slightly higher/lower than ours. Don't worry, it is mostly influenced by the characteristics of the dataset used.

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Yêu cầu

Nội dung khoá học

12 sections

Introduction

1 lectures
Introduction: mAP Values Format
01:59

YOLOv8 Image Size Hyperparameter

2 lectures
The Effect of Image Size Hyperparameter on Accuracy
08:16
The Effect of Image Size Hyperparameter on Speed
15:07

YOLOv8 Half Precision

2 lectures
The Effect of Half Precision on Accuracy
08:56
The Effect of Half Precision on Speed
07:03

TensorRT Optimization (GPU Mode)

2 lectures
Optimizing YOLOv8 Model with TensorRT
15:18
Performance Comparison of YOLOv8 and TensorRT Model
16:07

OpenVINO Quantization (CPU Mode)

2 lectures
Optimizing YOLOv8 Model with OpenVINO Quantization
17:03
Performance Comparison of YOLOv8 and OpenVINO Quantization Model
18:57

YOLOv8 Architecture Modifications (up to +21 mAP)

8 lectures
YOLOv8 Architecture Detailed Explanation
11:07
(Small Objects) Modifying YOLOv8 Architecture for Small Objects Detection
11:07
(Small Objects) Train the Modified Model
07:07
(Small Objects) Performance Comparison of Original and Modified YOLOv8 Model
06:41
(Medium Objects) Modifying YOLOv8 Architecture for Medium Objects Detection
08:35
(Big Objects) Modifying YOLOv8 Architecture for Big Objects Detection (+21 mAP)
04:36
(Big Objects) Train the Modified Model
07:32
(Big Objects) Performance Comparison of Original and Modified YOLOv8 Model
05:57

Hyperparameter Tuning

4 lectures
Hyperparameter Explanation Part 1
05:56
Hyperparameter Explanation Part 2
07:59
Train the YOLOv8 Model with Default Hyperparameter
12:34
Train the YOLOv8 Model with Tuned Hyperparameter
06:08

Data Augmentation

4 lectures
Data Augmentation Explanation Part 1
09:21
Data Augmentation Explanation Part 2
05:48
Train the YOLOv8 Model with Default Data Augmentation
15:29
Train the YOLOv8 Model with Recommended Data Augmentation
10:57

The Ultimate Solution: Combination (Speed 4x Faster)

1 lectures
YOLOv8 Architecture Modification Combined with TensorRT
09:48

Adding More Data Semi-Automatically using Pseudo-Labeling

4 lectures
Pseudo-Labeling
11:48
Training with a Small Part of Dataset
15:25
Automatic Annotation
13:45
Training with All Data
10:49

BASIC: Understanding Deep Learning

3 lectures
Understanding Deep Learning
06:24
How Convolutional Neural Networks (CNN) works
04:31
Convolutional Neural Networks Summary
01:44

YOLOv8 Oriented Bounding Boxes

5 lectures
YOLOv8 Oriented Bounding Boxes
02:05
OBB Annotation using Roboflow
07:40
Train the YOLOv8 OBB Model
08:57
Car Detection
05:39
Accuracy Measurement using Mean Average Precision
04:12

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