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Aerial Drone Image Segmentation

Developed by Thalirajesh
A fine-tuned aerial drone image segmentation model based on nvidia/mit-b0, suitable for multi-class segmentation tasks in aerial images.
Downloads 76
Release Time : 3/25/2024

Model Overview

This model is specifically designed for segmentation tasks in drone aerial images, capable of identifying and segmenting different categories of objects in the images.

Model Features

Aerial Image Segmentation
Segmentation capability optimized specifically for drone aerial images, capable of handling complex aerial scenes.
Multi-class Recognition
Supports recognition and segmentation of multiple categories of objects, including buildings, roads, vegetation, etc.

Model Capabilities

Aerial Image Analysis
Multi-class Image Segmentation
Scene Understanding

Use Cases

Urban Planning
Urban Land Use Analysis
Identify different land use types through aerial image segmentation
Provides precise distribution data of various land cover types
Environmental Monitoring
Vegetation Coverage Monitoring
Identify and segment vegetation areas in aerial images
Can calculate vegetation coverage indicators
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