Python: Image Classification Model

This Python snippet demonstrates how to build an image classification model using the 'TensorFlow' and 'Keras' libraries. Image classification is essential for tasks such as object recognition, content filtering, and automated tagging in image-based applications.

The snippet provides a basic convolutional neural network (CNN) model for image classification, which can be trained on labeled image datasets. This model can be customized and extended for specific image recognition tasks.

By leveraging 'TensorFlow' and 'Keras', developers can create deep learning models that learn to classify images based on features extracted from the data. This process is crucial for automating image analysis tasks and improving the accuracy of image-based applications.

This tool is invaluable for developers working on computer vision projects, image processing applications, and any software that requires automated image classification capabilities.

Below is the complete code for building an image classification model, providing a foundation for developing advanced image recognition systems.