How to classify images using MobileNet V2 ? Want to turn any JPG into a set of top-5 predictions in under 5 minutes? In this hands-on tutorial I’ll walk you line-by-line through loading MobileNetV2, prepping an image with OpenCV, and decoding the results—all in pure Python. Perfect for beginners who need a lightweight model or anyone looking to add instant AI super-powers to an app. What You’ll Learn : Loading MobileNetV2 pretrained on ImageNet (1000 classes) Reading images with OpenCV and converting BGR → RGB Resizing to 224×224 & batching with np.expand_dims Using preprocess_input (scales pixels to -1…1) Running inference on CPU/GPU (model.predict) Grabbing the single highest class with np.argmax Getting human-readable labels & probabilities via decode_predictions You can find link for the code in the blog : https://eranfeit.net/super-quick-image-classification-with-mobilenetv2/ You can find more tutorials, and join my newsletter here : https://eranfeit.net/ Check out our tutorial : Enjoy Eran #Python #ImageClassification #MobileNetV2
