How to Classify images using Efficientnet B0

Classify any image in seconds using Python and the pre-trained EfficientNetB0 model from TensorFlow.
This beginner-friendly tutorial shows how to load an image, preprocess it, run predictions, and display the result using OpenCV.

Great for anyone exploring image classification without building or training a custom model — no dataset needed!

📌 What You’ll Learn:
✅ Load EfficientNetB0 pre-trained on ImageNet
✅ Prepare images with OpenCV
✅ Make predictions on real-world photos
✅ Decode results and overlay labels on the image
✅ Display results in a simple OpenCV window

👉 Watch the full tutorial here : https://youtu.be/lomMTiG9UZ4

You can download the code here : https://ko-fi.com/s/a91cfcced2

You can find more tutorials, and join my newsletter here : https://eranfeit.net/

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

Before we continue , I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

Enjoy

Eran