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Resnet Weather Model
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Resnet Weather Model
Developed by sallyanndelucia
A weather image classification model based on ResNet architecture for identifying images under different weather conditions
Downloads 27
Release Time : 12/22/2022
Model Overview
This model is an image classification model specifically designed to recognize and categorize images under various weather conditions. It is built on the ResNet architecture and trained on a custom weather dataset.
Model Features
Weather Image Classification
Capable of accurately identifying and classifying images under different weather conditions
ResNet Architecture
Built on the powerful ResNet architecture with excellent feature extraction capabilities
Lightweight Training
Achieves decent performance with just 3 training epochs
Model Capabilities
Image Classification
Weather Recognition
Visual Feature Extraction
Use Cases
Meteorological Applications
Automatic Weather Monitoring
Automatically identifies current weather conditions by analyzing outdoor camera images
Accuracy 67.35%, F1 Score 66.55%
Weather Forecast Assistance
Provides real-time visual confirmation of weather conditions for forecasting systems
Smart Home
Smart Curtain Control
Automatically adjusts curtain opening/closing based on recognized weather conditions
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