Overview

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 v83. What is the real performance comparison, based on our experiment4. What are the advantages of YOLO compares to other deep learning models5. What's new in YOLOv7 and YOLOv86. 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, YOLOv10, and YOLO11 architecture in detail11. How to find the dataset12. How to perform data annotation using LabelImg13. How to automatically split a dataset14. A detailed step-by-step YOLOv7, YOLOv8, YOLOv9, YOLOv10, and YOLOv11 installation15. Train YOLOv7, YOLOv8, YOLOv9, YOLOv10, and YOLO 11 on your own custom dataset16. Visualize your training result using Tensorboard17. Test the trained YOLOv7, YOLOv8, YOLOv9, YOLOv10, and YOLO11 models on image, video, and real-time using webcam.18. YOLOv7 New Features: Pose Estimation19. YOLOv7 New Features: Instance Segmentation20. YOLOv8 New Features: Instance Segmentation & Object Tracking21. YOLO11: Object Detection, Object Tracking, Instance Segmentation, & Image Classification22. Real World Project #1: Robust mask detector using YOLOv7 and YOLOv823. Real World Project #2: Weather YOLOv8 classification application24. Real World Project #3: Coffee Leaf Diseases Segmentation application25. Real World Project #4: YOLOv7 Squat Counter application26. Real World Project #5: Various Vehicle Counter and Speed Estimation Web App with Cool Dashboard using YOLOv9 + Streamlit 27. Real World Project #6: Cattle Counter using YOLOv10 + Bytetrack28. Real World Project #7: Person Counter using YOLOv11 + Bytetrack29. Real World Project #8: X-Ray Image Classification using YOLO11

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