Deep Learning Object Detection by Training & Deploying YOLOX

🌟 Deep Learning Object Detection by Training & Deploying YOLOX 🌟

Course Headline:

Finetuning and testing a YOLOX model on custom built dataset. Creating and deploying object detection API to cloud

🚀 Course Description:

Object detection algorithms are everywhere! From self-driving cars to facial recognition systems, they have become an integral part of our daily lives. With the advent of more efficient models in the early 2010s, deep learning has revolutionized how object detection is performed, achieving unprecedented performances.

In this course, Neuralearn invites you on a transformative journey where you will master the art of object detection using deep learning models. We'll start with understanding the basics of object detection algorithms and gradually dive into deploying them in real-world applications, all while adhering to industry best practices.

📚 Key Takeaways:

• Understanding Legacy Algorithms: Dive into pre-deep learning object detection methods like Haarcascades and see how they paved the way for more sophisticated techniques.

• Deep Learning Mastery: Explore deep learning algorithms, including Convolutional Neural Networks (CNNs), YOLO (You Only Look Once), and the advanced YOLOX model.

• Labeling Essentials: Learn about object detection labeling formats such as Pascal VOC and how to use them effectively.

• Custom Dataset Creation: Discover how to create your own custom dataset with Remo, ensuring that your model is trained on relevant data.

• Dataset Conversion: Master the process of converting your custom dataset into the Pascal VOC format, a key step for model training.

• Finetuning YOLOX: Fine-tune the YOLOX model with your custom dataset to achieve better accuracy and performance.

• Model Optimization: Learn how to convert the finetuned model into the ONNX format for optimized deployment.

• Experiment Tracking: Utilize tools like Wandb to keep track of your experiments and maintain a log of your progress.

• API Development: Understand the fundamentals of APIs and build your own using Fastapi, a leading framework for building simple, fast web applications.

• Cloud Deployment: Deploy your API to the cloud, learning how to choose the right platform and services for your application.

• Load Testing: Perform load testing on your deployed API using tools like Locust to ensure it can handle real-world demands.

• Running Models in C++: Integrate your object detection model into C++ applications for high-performance deployment.

🤝 Community Engagement:

Your growth matters! This course is designed to push your boundaries and elevate your skills. We encourage you to engage with the community, ask questions, and share insights on our dedicated forum. Your feedback is invaluable for us to continuously improve this course. We strive to provide timely responses to all your queries.

🎓 About Neuralearn:

Neuralearn is at the forefront of providing cutting-edge courses in AI and machine learning. Our mission is to democratize knowledge and empower learners from around the globe with practical, hands-on training that translates directly into real-world applications. With Neuralearn, embark on a journey to unlock your potential and stay ahead in the ever-evolving landscape of AI.

🎈 Ready to dive into the world of object detection? 🎈

Sign up now and let's embark on this exciting adventure together! We can't wait to see you thrive and make an impact with your newfound skills! 🚀👩‍💻🤖

Enroll today and join the ranks of AI professionals who are shaping the future! 🌟🎓🌟