R

Rt Detr Finetuned For Satellite Image Roofs Detection

Developed by Yifeng-Liu
A remote sensing object detection model based on the RT-DETR architecture, specifically designed for roof detection in satellite images.
Downloads 927
Release Time : 9/3/2024

Model Overview

This model is a fine-tuned remote sensing object detection model based on the RT-DETR architecture, primarily used for automatic detection and localization of building roofs in satellite images.

Model Features

High-Precision Roof Detection
Accurately detects building roofs in satellite images with AP@0.5 reaching 0.652.
Multi-Scale Object Detection
Capable of detecting roof targets of various sizes, including small, medium, and large objects.
Remote Sensing Image Optimization
Specifically optimized and fine-tuned for the characteristics of satellite remote sensing images.

Model Capabilities

Satellite Image Analysis
Building Detection
Object Localization
Remote Sensing Data Processing

Use Cases

Urban Planning
Building Census
Automatically identifies the distribution of buildings within urban areas.
Rapidly completes building census work for large areas.
Disaster Assessment
Post-Disaster Building Damage Assessment
Detects changes in building integrity and distribution after a disaster.
Assists in disaster loss assessment and rescue planning.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase