YOLOv7 YOLOv8: Deep Learning – Computer Vision 2023

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Price: 399000$

Welcome to the YOLOv7 YOLOv8: Deep Learning for Computer Vision Course 2023, a 2 COURSES IN 1. YOLOv7 and YOLOv8 are the current two best object detection deep learning models. They are fast and very accurate. YOLOv7 is also the latest official version of YOLO whereas YOLOv8 is the newest YOLO version of all. What will you learn:1. How to run, from scratch, a YOLOv7 program to detect 80 types of objects in < 10 minutes.2. YOLO evolution from YOLOv1 to YOLOv83. 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, Re Lu, Leaky Re Lu, Mish, and Si LU)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 architecture in detail11. How to find the dataset12. How to perform data annotation using Label Img13. How to automatically split a dataset14. A detailed step-by-step YOLOv7 and YOLOv8 installation15. Train YOLOv7 and YOLOv8 on a custom dataset16. Visualize your training result using Tensorboard17. Test the trained YOLOv7 and YOLOv8 models on image, video, and webcam.18. YOLOv7 New Features: Pose Estimation19. YOLOv7 New Features: Instance Segmentation20. YOLOv8 New Features: Instance Segmentation & Object Tracking20. Real World Project #1: Robust mask detector using YOLOv7 and YOLOv821. Real World Project #2: Weather YOLOv8 classification application22. Real World Project #3: Coffee Leaf Diseases Segmentation application23. Real World Project #4: YOLOv7 Squat Counter application