YOLO7 YOLOv8 YOLOv9 Course (3 in 1)

Welcome to the YOLOv7, YOLOv8, & YOLOv9 Deep Learning Course, a 3 IN 1 COURSE.
(UPDATE August 2024: YOLOv10 is included)
YOLOv7, YOLOv8, and YOLOv9 are the current three best object detection deep learning models. They are fast and very accurate. YOLOv9 is the latest official version of YOLO whereas YOLOv8 is the most popular YOLO version of all.
What will you learn:
1. How to run, from scratch, a YOLOv7, YOLOv8, & YOLOv9 program to detect 80 types of objects in less than 10 minutes.
2. YOLO evolution from YOLO v1 to YOLO v8
3. What is the real performance comparison, based on our experiment
4. What are the advantages of YOLO compares to other deep learning models
5. What’s new in YOLOv7 and YOLOv8
6. How artificial neural networks work (neuron, perceptron, feed-forward network, hidden layers, fully connected layers, etc)
7. Different Activation functions and how they work (Sigmoid, tanh, ReLu, Leaky ReLu, Mish, and SiLU)
8. How convolutional neural networks work (convolution process, pooling layer, flattening, etc)
9. Different computer vision problems (image classification, object localization, object detection, instance segmentation, semantic segmentation)
10. YOLOv7 & YOLOv8 architecture in detail
11. How to find the dataset
12. How to perform data annotation using LabelImg
13. How to automatically split a dataset
14. A detailed step-by-step YOLOv7, YOLOv8, and YOLOv9 installation
15. Train YOLOv7, YOLOv8, and YOLOv9 on your own custom dataset
16. Visualize your training result using Tensorboard
17. Test the trained YOLOv7, YOLOv8, and YOLOv9 models on image, video, and webcam.
18. YOLOv7 New Features: Pose Estimation
19. YOLOv7 New Features: Instance Segmentation
20. YOLOv8 New Features: Instance Segmentation & Object Tracking
20. Real World Project #1: Robust mask detector using YOLOv7 and YOLOv8
21. Real World Project #2: Weather YOLOv8 classification application
22. Real World Project #3: Coffee Leaf Diseases Segmentation application
23. Real World Project #4: YOLOv7 Squat Counter application
24. Real World Project #5: Various Vehicle Counter and Speed Estimation Web App with Cool Dashboard using YOLOv9 + Streamlit
Instructor:
Dr. Priyanto Hidayatullah
Stunning Vision AI Academy Mentor
👉 bit.ly/YOLOv7_...
👉 bit.ly/YOLOv7_...
#yolov9 #yolov8 #yolov7

[@Dr.Priyanto.Hidayatullah]

Enrollment link: bit.ly/YOLOv7_v8_v9_Course

[@dosenswasta]

Saya ingin bergabung di kelasnya Pak. Mohon petunjuknya jika ada kelas tatap muka online untuk kelas ini.

[@Dr.Priyanto.Hidayatullah]

Silakan bergabung pak. Namun mohon maaf, belum ada fasilitas temu muka online dari udemy. Tapi bapak bisa bertanya via QA section

[@mashokkumarreddy1837]

Where is the enrollment link sir ?

[@Dr.Priyanto.Hidayatullah]

It is in the description. Or you can use this one bit.ly/YOLOv7_v8_v9_Course