Have you ever wondered how computer vision is used in sports analytics? One of the most exciting applications is image classification, which powers technologies in autonomous driving, healthcare diagnostics, and more. In this post, we’ll take you through a complete, end-to-end workflow for classifying Olympic sports images using EfficientNetV2, a state-of-the-art deep learning model.
Our journey is divided into three clear steps: dataset preparation, model training, and model inference. We’ll show you how to organize and split images into training and testing sets, fine-tune EfficientNetV2 on the Olympics dataset, and run real-time predictions on new images.
If you’re interested in learning more about image classification and its applications, this is a great starting point. You can find the code and a full tutorial on our blog, as well as more tutorials and a newsletter to stay up-to-date on the latest developments in deep learning.
So, what are you waiting for? Dive in and explore the world of image classification!