YOLOv7 YOLOv8 YOLOv9 YOLOv10 YOLOv11 – Deep Learning Course, Train Custom Dataset, Object Detection, Pose Estimation, Instance Segmentation, Image Classification, Cool Web Dashboard.
Course Description
Welcome to the YOLOv7, YOLOv8, YOLOv9, YOLOv10, & YOLOv11 Deep Learning Course, a 5 COURSES IN 1. YOLOv7, YOLOv8, YOLOv9, YOLOv10, and YOLOv11 are the current five best object detection deep learning models. They are fast and very accurate. YOLOv11 is the latest 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, YOLOv10 & YOLO11 program to detect 80 types of objects in < 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, YOLOv9, and YOLOv10 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, YOLOv9, YOLOv10, and YOLOv11 installation
15. Train YOLOv7, YOLOv8, YOLOv9, YOLOv10, and YOLO 11 on your own custom dataset
16. Visualize your training result using Tensorboard
17. Test the trained YOLOv7, YOLOv8, YOLOv9, YOLOv10, and YOLO11Â models on image, video, and real-time using webcam.
18. YOLOv7 New Features: Pose Estimation
19. YOLOv7 New Features: Instance Segmentation
20. YOLOv8 New Features:Â Instance Segmentation &Â Object Tracking
21. Real World Project #1: Robust mask detector using YOLOv7 and YOLOv8
22. Real World Project #2: Weather YOLOv8 classification application
23. Real World Project #3: Coffee Leaf Diseases Segmentation application
24. Real World Project #4: YOLOv7 Squat Counter application
25. Real World Project #5: Various Vehicle Counter and Speed Estimation Web App with Cool Dashboard using YOLOv9 +Â Streamlit
26. Real World Project #6: Cattle Counter using YOLOv10 +Â Bytetrack
27. Real World Project #7: Person Counter using YOLOv11 +Â Bytetrack
