YOLOv7 Object Detection Course
YOLOv7 Object Detection Inference & Training

What you will learn
Fundamentals of YOLOv7
Training YOLOv7 in Custom Dataset
Deploying&Testing the Model in YOLOv7
Data Processing, Segmentation, Data Collection, and Essential Prerequisites in YOLOv7
Why take this course?
YOLOv7 Object Detection Inference & Training
π Course Headline: Master the Art of Real-Time Object Detection with YOLOv7
π Price Update Alert: Secure your spot now for just $29 β prices rising to $58 on 5th October 2022!
Course Description:
Object detection is a cornerstone technology in the realm of computer vision and artificial intelligence, enabling applications across industries to identify and classify objects within images and videos. The YOLO (You Only Look Once) series has consistently set new benchmarks for real-time object detection since its inception. With its latest iteration, YOLOv7, the technology is more powerful and precise than ever before.
π What You'll Learn:
- Foundations of YOLOv7: Dive into the core concepts behind YOLOv7, understanding how it processes images and detects objects in real-time.
- Model Architecture: Explore the internal workings of YOLOv7, from its backbone to the neural network head, and learn how features are combined for optimal detection.
- Training Custom Models: Learn how to train YOLOv7 models tailored to your specific datasets, ensuring high accuracy in object detection tasks.
- Advanced Techniques: Gain insights into advanced features such as multi-object tracking, object segmentation, and classification using YOLOv7.
- Real-World Applications: Apply your knowledge by integrating YOLOv7 with applications using Flask, and explore various use cases in real-world scenarios.
- State-of-the-Art Practices: Access the most cutting-edge details and techniques used in YOLOv7 to stay ahead of the curve in the field of computer vision.
Course Structure:
π Module 1 - Getting Started with YOLOv7
- Understanding the evolution of YOLO models
- Setting up the development environment for YOLOv7
- An overview of the YOLOv7 architecture and its components
π Module 2 - Training YOLOv7 on Custom Dataset
- Preparing datasets for training
- Techniques for augmenting datasets to improve model robustness
- Training YOLOv7 with your own dataset
- Evaluating the performance of your trained model
π Why Enroll in This Course?
Whether you're a machine learning enthusiast, a developer looking to expand your skill set, or an entrepreneur aiming to leverage cutting-edge AI technologies, this course is designed for all levels of expertise. With hands-on training and real-world applications, you'll gain a deep understanding of YOLOv7 object detection, enabling you to implement this technology in various industries, from autonomous vehicles to security surveillance, retail analytics, and more.
π Enroll Now & Save!
Don't miss out on this opportunity to learn from industry-leading content at an unbeatable price. The world of AI and computer vision is evolving rapidly, and mastering YOLOv7 object detection will keep you ahead in the race. Enroll today, and take your first step towards becoming a pioneer in real-time object detection with YOLOv7!
Instructor Profile:
Augmented Startupscourse instructor is a seasoned expert in machine learning and computer vision with years of experience in applying AI technologies to solve real-world problems. With a deep understanding of YOLO models, the instructor brings practical insights and advanced knowledge to guide learners through the complexities of object detection and model training using YOLOv7.