🖼️ Image processing project with VGG19 for time i was working in university

🖼️ Image Classification with VGG19

This project demonstrates how to perform image classification using the pre-trained VGG19 model from Keras. It's a simple, clean example of transfer learning for identifying image content with high accuracy.

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🚀 Features

• ✅ Uses VGG19 pretrained on ImageNet
• ✅ Loads and preprocesses custom images
• ✅ Outputs top predictions with class names and confidence scores
• ✅ Easy to customize for other datasets or models

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🧰 Requirements

Install the required libraries:

pip install tensorflow numpy pillow

pip install -r requirements.txt

!download this:

vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5

!this will be create in VGG.ipynb:

image_classification_model.keras

⚒️picture