This project focuses on classifying natural scenes using a Convolutional Neural Network (CNN). The model is built using TensorFlow and leverages the pretrained ResNet50 architecture for transfer learning. Image Classification one of the fundamental tasks for computer vision, which includes assigning labels to set of images based on the visual content. This project is Image classification -computer vision which focuses on classifying natural scenes using a deep learning -Convolutional Neural Network (CNN). The model is built using TensorFlow and leverages the pretrained ResNet50 architecture for transfer learning
