# Remote sensing image analysis

LMMRotate is a fine-tuned large multimodal language model specifically designed for rotating object detection tasks, particularly suitable for aerial image analysis.

PyTorch-based semantic segmentation model supporting multiple encoder architectures

This model is a fine-tuned version of hustvl/yolos-small, specifically designed for detecting cell towers.

A fine-tuned image classification model based on the Swin Transformer architecture, achieving 98.3% accuracy on the image folder dataset.

This model is a fine-tuned Vision Transformer based on google/vit-base-patch16-224-in21k on an unknown dataset, primarily used for image classification tasks.