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Autotrain Weather Classification 3739699410

Developed by dazzle-nu
This is a vision classification model trained via AutoTrain, specifically designed for multi-class weather image classification tasks.
Downloads 16
Release Time : 2/26/2023

Model Overview

The model can classify weather-related images and is suitable for meteorological analysis, intelligent monitoring, and similar scenarios.

Model Features

High Accuracy
Validation accuracy reaches 94.9%, enabling reliable weather classification.
Balanced Performance
Macro F1 score of 0.954 indicates balanced performance across all categories.
Eco-friendly Training
Training process CO2 emissions were only 12.17 grams, making it relatively environmentally friendly.

Model Capabilities

Image classification
Weather recognition
Multi-class prediction

Use Cases

Meteorological Monitoring
Automatic Weather Monitoring
Automatically identifies current weather conditions via cameras
Accuracy 94.9%
Smart Agriculture
Farmland Weather Monitoring
Monitors weather changes in farmland areas
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