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Terrain Recognition

Developed by smp111
An image classification model automatically generated using the PyTorch framework and HuggingPics tool for identifying different terrain types
Image Classification
Transformers
#High-precision terrain classification#Outdoor scene recognition#PyTorch lightweight model
Downloads 76
Release Time : 10/17/2023

Model Overview

This model can classify input images to identify various terrain types such as grassland, marsh, rock, and sand, achieving an accuracy rate of 87.78%

Model Features

High Accuracy
Achieves 87.78% accuracy on the test set
Multi-terrain Recognition
Capable of identifying various terrains including grassland, marsh, rock, and sand
Ease of Use
Automatically generated via HuggingPics tool for easy deployment and usage

Model Capabilities

Image Classification
Terrain Recognition
Visual Feature Extraction

Use Cases

Geographic Information System
Satellite Image Analysis
Analyze terrain distribution in satellite or aerial images
Automatically identify different terrain regions
Environmental Monitoring
Ecological Environment Assessment
Monitor terrain changes in specific areas
Evaluate the impact of human activities on the environment
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