# Remote Sensing Image Recognition

A fine-tuned version of the CLIP model on the UC_Merced satellite image dataset, achieving 96.9% accuracy

This model is a fine-tuned version based on the ConvNeXt-Tiny architecture, specifically designed for image classification tasks, achieving an accuracy of 95.37% on the EuroSAT dataset.

This is a vision model based on the Swin Transformer Tiny architecture, fine-tuned on the EuroSAT dataset, primarily used for image classification tasks.