# Remote Sensing Image Processing

A pre-trained coastline segmentation model based on PyTorch's FPN architecture, suitable for coastline detection tasks in remote sensing images

An image segmentation model fine-tuned on coastline datasets based on nvidia/segformer-b3-finetuned-ade-512-512, specialized in recognizing land cover types such as water bodies, whitewater, and sediments.

Aircraft object detection model based on YOLOv8m, excelling on the plane-detection dataset.

Aircraft object detection model based on YOLOv8s, optimized for aircraft recognition tasks.

An image segmentation model fine-tuned on the imadd/water_dataset dataset based on nvidia/mit-b0, designed for water segmentation tasks

This is a ConvNeXT-tiny model fine-tuned on the EuroSAT satellite image dataset for land use classification tasks, achieving an accuracy of 98.05%.