grknc/Satellite-Image-Classification-CNN-Fine-Tuning-NasNet-Mobile

Satellite Image Classification is a deep learning project that classifies satellite images into categories like "Cloudy", "Desert", "Green_Area", and "Water". By fine-tuning the NasNet Mobile architecture using Convolutional Neural Networks (CNNs) and transfer learning, the model achieves an accuracy of 95%.