• Free

YOLOv8 Nano Course

  • Course
  • 31 Lessons

A free course on YOLOv8. Learn the fundamentals of YOLOv8.

Contents

YOLOv8_Notebook.ipynb.zip
  • 1.35 MB

Module 1 - Introduction to YOLOv8

Learn YOLOv8 and how it works
1.1 Is YOLOv8 the Future of Object Detection?
  • 5 mins
  • 50.7 MB
1.2 Run YOLOv8 in Google Colab in 1-Click!
  • 12 mins
  • 1.21 GB
1.3 Installing YOLOv8 on Windows 11
  • 9 mins
  • 867 MB
1.4: Running YOLO-NAS + v8 on Windows
  • 9 mins
  • 867 MB
1.5: Running YOLO-NAS + v8 in Google Colab
  • 12 mins
  • 1.21 GB
Lecture_1.2.pptx
  • 18 MB
1.6: YOLO-NAS + v8 Object Detection on Images, Video & WebCam in Google Colab
  • 14 mins
  • 230 MB
Lecture_1.7.pptx
  • 22.2 MB
1.8: Fine-tuning pre-trained YOLO-NAS + v8 models
  • 7 mins
  • 303 MB
Fine_Tuning.zip
  • 134 MB
1.7: Common use cases for YOLO-NAS + v8
  • 4 mins
  • 74.3 MB

Module 2: Training Custom YOLOv8

2.1 Training Process of YOLOv8.mp4
  • 5 mins
  • 10.8 MB
2.2 Custom Dataset Waste Sorting Detection.mp4
  • 14 mins
  • 282 MB
2.3 Data Pre-processing.mp4
  • 5 mins
  • 10.4 MB
2.4 Data Augmentation.mp4
  • 3 mins
  • 6.94 MB
2.5 Training, Testing, and Deploying Model on Roboflow.mp4
  • 9 mins
  • 288 MB
2.6 Using Roboflow models for AI data annotation.mp4
  • 3 mins
  • 23.3 MB

Module 3: YOLOv8 Object Tracking

3.1 Introduction to Multi-Object Tracking (MOT)
  • 6 mins
  • 135 MB
3.2 YOLOv8 with DeepSORT.mp4
  • 21 mins
  • 747 MB
3.3 YOLOv8 with Bytetrack.mp4
  • 10 mins
  • 296 MB
3.4 YOLOv8 with NorFair.mp4
  • 9 mins
  • 263 MB
ByteTrack.zip
  • 528 MB
3.5 Integrating YOLOv8 + tracking on Streamlit dashboard.mp4
  • 22 mins
  • 486 MB
DeepSORT.zip
  • 528 MB
NorFair Code
  • 528 MB
Streamlit Starter.zip
  • 375 MB
Lecture_3.3.pptx
  • 21 MB
Lecture_3.4.pptx
  • 16.8 MB
Lecture_3.1.pptx
  • 21.5 MB
Lecture_3.2.pptx
  • 21 MB

Frequently Asked Questions (FAQ)

How Do I Run the Project Files?

There will be instructions in the lesson of each project.

I've tried running the project files, but I am a beginner.

Ensure that you have the required hardware like a CUDA enabled GPU and have followed the tutorial video step-by-step.
 
 If you are still struggling to get the project working or installed, we provide a 1 hour Remote Desktop Technical Session. In this session, our technical team will log into your PC and help you install all of the require libraries and dependencies and get the project running*.
 
 You can apply for the Remote Technical Assistance HERE
 
*(Assuming that you have the required hardware).

Where can I connect with AI and CV Developers?

You can Join our Free WhatsApp Computer Vision Community HERE.

Here you can connect and network with like-minded developers.

Are the projects refundable?

This course is free :)